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  • Brian Browning: An Introduction to Genotype Imputation

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    Brian Browning: An Introduction to Genotype Imputation
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    Date
    July 18, 2016
    07/18/16 @ 09:15-10:00 Tutorial by Brian Browning An Introduction to Genotype Imputation 1. Marchini, J. and Howie, B., 2010. Genotype imputation for genome-wide association studies. Nature […]
  • William (Xiaoquan) Wen: Bayesian Statistics and its Application to Integrative Statistical Genomics

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    William (Xiaoquan) Wen: Bayesian Statistics and its Application to Integrative Statistical Genomics
    0
    Date
    July 18, 2016
    07/18/2016 @ 10:00-10:45 Tutorial by William (Xiaoquan) Wen Bayesian Statistics and its Application to Integrative Statistical Genomics 1. Stephens, M. and Balding, D.J., 2009. Bayesian statistical […]
  • Leonid Kruglyak: Genetic Basis of Complex Traits

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    Leonid Kruglyak: Genetic Basis of Complex Traits
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    Date
    July 18, 2016
    07/18/2016 @ 14:00-14:45 Research Talk by Leonid Kruglyak Genetic Basis of Complex Traits 1. Sadhu, M.J., Bloom, J.S., Day, L. and Kruglyak, L., 2016. CRISPR-directed mitotic […]
  • Carlos Bustamante: Interpreting Human Variation in the Personal Genome Era

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    Carlos Bustamante: Interpreting Human Variation in the Personal Genome Era
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    Date
    July 18, 2016
    07/18/2016 @ 15:15-16:15 Research Talk by Carlos Bustamante Interpreting Human Variation in the Personal Genome Era 1. Shringarpure, S.S. and Bustamante, C.D., 2015. Privacy risks from […]
  • Alexander Schönhuth: Snakemake: Reproducible and Scalable Data Analysis

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    Alexander Schönhuth: Snakemake: Reproducible and Scalable Data Analysis
    0
    Date
    July 19, 2016
    07/19/16 @ 09:15-10:00 Tutorial by Alexander Schönhuth Snakemake: Reproducible and Scalable Data Analysis 1. Köster, J. and Rahmann, S., 2012. Snakemake—a scalable bioinformatics workflow engine. Bioinformatics, […]
  • Jo Hardin: Tutorial on RNASeq Normalization and Differential Expression

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    Jo Hardin: Tutorial on RNASeq Normalization and Differential Expression
    0
    Date
    July 19, 2016
    07/19/2016 @ 10:00-10:45 Tutorial by Jo Hardin Tutorial on RNASeq Normalization and Differential Expression 1. Wang, Z., Gerstein, M. and Snyder, M., 2009. RNA-Seq: a revolutionary […]
  • Sohini Ramachandran: Genomic Reconstructions of Deep Human History

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    Sohini Ramachandran: Genomic Reconstructions of Deep Human History
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    Date
    July 19, 2016
    07/19/2016 @ 14:00-14:45 Tutorial by Sohini Ramachandran Genomic Reconstructions of Deep Human History 1. Palacios, J.A., Wakeley, J. and Ramachandran, S., 2015. Bayesian nonparametric inference of […]
  • Alex Zelikovsky: High-Throughput Sequencing Applications to Molecular Epidemiology

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    Alex Zelikovsky: High-Throughput Sequencing Applications to Molecular Epidemiology
    0
    Date
    July 19, 2016
    07/19/2016 @ 15:15-16:00 Tutorial by Alex Zelikovsky High-Throughput Sequencing Applications to Molecular Epidemiology 1. Wertheim, J.O., Brown, A.J.L., Hepler, N.L., Mehta, S.R., Richman, D.D., Smith, D.M. […]
  • Fereydoun Hormozdiari: Detecting Structural Variation

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    Fereydoun Hormozdiari: Detecting Structural Variation
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    Date
    July 20, 2016
    07/20/2016 @ 09:15-10:00 Tutorial by Fereydoun Hormozdiari Detecting Structural Variation 1. Hormozdiari, F., Alkan, C., Eichler, E.E. and Sahinalp, S.C., 2009. Combinatorial algorithms for structural variation […]
  • Jason Ernst: Deciphering the Non-coding Human Genome

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    Jason Ernst: Deciphering the Non-coding Human Genome
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    Date
    July 20, 2016
    07/20/2016 @ 10:00-10:45 Research Talk by Jason Ernst Deciphering the Non-coding Human Genome 1. Ernst, J. and Kellis, M., 2010. Discovery and characterization of chromatin states […]
  • Bogdan Pasaniuc: Methods to understand the Polygenic Architecture of Complex Traits

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    Bogdan Pasaniuc: Methods to understand the Polygenic Architecture of Complex Traits
    0
    Date
    July 20, 2016
    07/20/2016 @ 14:00-14:45 Research Talk by Bogdan Pasaniuc Methods to understand the Polygenic Architecture of Complex Traits 1. Shi, H., Kichaev, G. and Pasaniuc, B., 2016. […]
  • Ben Raphael: Computational Analysis of Somatic Mutations in Cancer

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    Ben Raphael: Computational Analysis of Somatic Mutations in Cancer
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    Date
    July 20, 2016
    07/20/2016 @ 15:15-16:00 Tutorial by Ben Raphael Computational Analysis of Somatic Mutations in Cancer 1. Ding, L., Wendl, M.C., McMichael, J.F. and Raphael, B.J., 2014. Expanding […]
  • Alexander Schönhuth: Quantifying Uncertainties in Big Genome Data

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    Alexander Schönhuth: Quantifying Uncertainties in Big Genome Data
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    Date
    July 20, 2016
    07/20/2016 @ 16:15-17:00 Research Talk by Alexander Schönhuth Quantifying Uncertainties in Big Genome Data 1. Marschall, T., Costa, I.G., Canzar, S., Bauer, M., Klau, G.W., Schliep, […]
  • Jennifer Listgarten: Structured Populations in Genetics

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    Jennifer Listgarten: Structured Populations in Genetics
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    Date
    July 21, 2016
    07/21/2016 @ 09:15-10:00 Research Talk by Jennifer Listgarten Structured Populations in Genetics 1. Lippert, C., Listgarten, J., Liu, Y., Kadie, C.M., Davidson, R.I. and Heckerman, D., […]
  • Saharon Rosset: Bootstrap – The Statistician’s Magic Wand

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    Saharon Rosset: Bootstrap – The Statistician’s Magic Wand
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    Date
    July 21, 2016
    07/21/2016 @ 10:00-10:45 Tutorial by Saharon Rosset Bootstrap – The Statistician’s Magic Wand 1. Efron, B. and Tibshirani, R.J., 1994. An introduction to the bootstrap. CRC […]
  • Noah Zaitlen: Variances and Covariances in Recently Admixed Populations

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    Noah Zaitlen: Variances and Covariances in Recently Admixed Populations
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    Date
    July 21, 2016
    07/21/2016 @ 14:00-14:45 Research Talk by Noah Zaitlen Variances and Covariances in Recently Admixed Populations 1. Zou, J.Y., Park, D.S., Burchard, E.G., Torgerson, D.G., Pino-Yanes, M., […]
  • Brian Browning: Genotype Imputation with Millions of Reference Samples

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    Brian Browning: Genotype Imputation with Millions of Reference Samples
    0
    Date
    July 21, 2016
    07/21/2016 @ 14:45-15:30 Research Talk by Brian Browning Genotype Imputation with Millions of Reference Samples 1. Marchini, J. and Howie, B., 2010. Genotype imputation for genome-wide […]
  • Dan Geschwind: Integrative Genomics in Neuropsychiatric Diseases

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    Dan Geschwind: Integrative Genomics in Neuropsychiatric Diseases
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    Date
    July 21, 2016
    07/21/2016 @ 16:00-16:50 Research Talk by Dan Geschwind Integrative Genomics in Neuropsychiatric Diseases 1. Parikshak, N.N., Gandal, M.J. and Geschwind, D.H., 2015. Systems biology and gene […]
  • Sriram Sankararaman: Evolutionary Models in Population Genomics

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    Sriram Sankararaman: Evolutionary Models in Population Genomics
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    Date
    July 22, 2016
    07/22/2016 @ 09:15-10:00 Tutorial by Sriram Sankararaman Evolutionary Models in Population Genomics 1. Prüfer, K., Racimo, F., Patterson, N., Jay, F., Sankararaman, S., Sawyer, S., Heinze, […]
  • Sriram Sankararaman: Evolutionary Models in Population Genomics

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    Sriram Sankararaman: Evolutionary Models in Population Genomics
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    Date
    July 22, 2016
    07/22/2016 @ 09:15-10:00 Tutorial by Sriram Sankararaman Evolutionary Models in Population Genomics 1. Prüfer, K., Racimo, F., Patterson, N., Jay, F., Sankararaman, S., Sawyer, S., Heinze, […]
  • Wei Wang: Alignment-free RNASeq Analysis

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    Wei Wang: Alignment-free RNASeq Analysis
    0
    Date
    July 22, 2016
    07/22/16 @ 10:00-10:45 Tutorial by Wei Wang Alignment-free RNASeq Analysis 1. Zhang, Z. and Wang, W., 2014. RNA-Skim: a rapid method for RNA-Seq quantification at transcript […]
  • Jessica (Jingyi) Li: NMFP – Identifying mRNA Isoforms from RNASeq Data

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    Jessica (Jingyi) Li: NMFP – Identifying mRNA Isoforms from RNASeq Data
    0
    Date
    July 22, 2016
    07/22/16 @ 14:00-14:45 Research Talk by Jessica (Jingyi) Li NMFP – Identifying mRNA Isoforms from RNASeq Data 1. Ye, Y. and Li, J.J., 2016. NMFP: a […]
  • Kirk Lohmueller: The Interplay Between Demography and Selection in Dogs, Wolves, and Foxes

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    Kirk Lohmueller: The Interplay Between Demography and Selection in Dogs, Wolves, and Foxes
    0
    Date
    July 22, 2016
    07/22/2016 @ 15:15-16:0 Research Talk by Kirk Lohmueller The Interplay Between Demography and Selection in Dogs, Wolves, and Foxes 1. Marsden, C.D., Ortega-Del Vecchyo, D., O’Brien, […]
  • Paul Medvedev: Applying CS Tools to Biological Questions: A Case Study in Genome Assembly

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    Paul Medvedev: Applying CS Tools to Biological Questions: A Case Study in Genome Assembly
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    Date
    July 25, 2016
    We apologize that this video is not currently available. 07/25/2016 @ 09:30-10:15 Tutorial by Paul Medvedev Applying CS Tools to Biological Questions: A Case Study in […]
  • John Novembre: Models and Methods for Detecting Population Structure in Humans

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    John Novembre: Models and Methods for Detecting Population Structure in Humans
    0
    Date
    July 26, 2016
    We apologize that this video is not currently available. 07/26/2016 @ 09:30-10:15 Tutorial by John Novembre Models and Methods for Detecting Population Structure in Humans 1. […]
  • Noah Rosenberg: Mathematical Bounds on Population-Genetic Statistics

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    Noah Rosenberg: Mathematical Bounds on Population-Genetic Statistics
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    Date
    July 26, 2016
    We apologize that this video is not currently available. 07/26/2016 @ 10:15-11:00 Research Talk by Noah Rosenberg Mathematical Bounds on Population-Genetic Statistics 1. Jakobsson, M., Edge, […]
  • Kenneth Lange: MM Algorithms

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    Kenneth Lange: MM Algorithms
    0
    Date
    July 27, 2016
    07/27/2016 @ 09:30-10:15 Tutorial by Kenneth Lange MM Algorithms 1. Hunter, D.R. and Lange, K., 2004. A tutorial on MM algorithms. The American Statistician, 58(1), pp.30-37.
  • Saharon Rosset: Mixed Modeling for Case-control Genome-wide Studies

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    Saharon Rosset: Mixed Modeling for Case-control Genome-wide Studies
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    Date
    July 28, 2016
    07/28/2016 @ 09:30-10:15 Research Talk by Saharon Rosset Mixed Modeling for Case-control Genome-wide Studies: A Major Challenge 1. Golan, D., Lander, E.S. and Rosset, S., 2014. […]
  • Jonathan Flint: The Genetics of Depression

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    Jonathan Flint: The Genetics of Depression
    0
    Date
    July 29, 2016
    07/29/2016 @ 09:30-10:15 Research Talk by Jonathan Flint The Genetics of Depression 1. Flint, J. and Kendler, K.S., 2014. The genetics of major depression. Neuron, 81(3), […]
  • Yi Xing: Elucidating the Complexity of the Mammalian m⁶A Epitranscriptome

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    Yi Xing: Elucidating the Complexity of the Mammalian m⁶A Epitranscriptome
    0
    Date
    July 29, 2016
    07/29/2016 @ 11:45-12:30 Research Talk by Yi Xing Elucidating the Complexity of the Mammalian m⁶A Epitranscriptome 1. Molinie, B., Wang, J., Lim, K.S., Hillebrand, R., Lu, […]
  • Jason Ernst: Epigenome Imputation

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    Jason Ernst: Epigenome Imputation
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    Date
    August 1, 2016
    08/01/2016 @ 09:30-10:15 Tutorial by Jason Ernst Epigenome Imputation 1. Ernst, J. and Kellis, M., 2015. Large-scale imputation of epigenomic datasets for systematic annotation of diverse […]
  • Emilia Huerta-Sanchez: Evolutionary Adaptation in Humans

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    Emilia Huerta-Sanchez: Evolutionary Adaptation in Humans
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    Date
    August 1, 2016
    08/01/2016 @ 10:15-11:00 Tutorial by Emilia Huerta-Sanchez Evolutionary Adaptation in Humans 1. Nielsen, R., 2005. Molecular signatures of natural selection. Annu. Rev. Genet., 39, pp.197-218. 2. […]
  • Bogdan Pasaniuc: Integrative Fine-mapping for Causal Variants

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    Bogdan Pasaniuc: Integrative Fine-mapping for Causal Variants
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    Date
    August 2, 2016
    08/02/2016 @ 10:30-11:15 Tutorial by Bogdan Pasaniuc Integrative Fine-mapping for Causal Variants 1. Kichaev, G. and Pasaniuc, B., 2015. Leveraging functional-annotation data in trans-ethnic fine-mapping studies. […]
  • Noah Zaitlen: Conditioning in Association Studies

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    Noah Zaitlen: Conditioning in Association Studies
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    Date
    August 2, 2016
    08/02/2016 @ 11:15-12:00 Tutorial by Noah Zaitlen Conditioning in Association Studies 1. Zaitlen, N., Lindström, S., Pasaniuc, B., Cornelis, M., Genovese, G., Pollack, S., Barton, A., […]
  • Sagi Snir: Tutorial on reconstructing Evolution from the Tiniest Fractions

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    Sagi Snir: Tutorial on reconstructing Evolution from the Tiniest Fractions
    0
    Date
    August 3, 2016
    08/03/2016 @ 10:30-11:30 Tutorial by Sagi Snir Tutorial on reconstructing Evolution from the Tiniest Fractions: Basics, Challenges, and Application 1. Hinchliff, C.E., Smith, S.A., Allman, J.F., […]
  • Sagi Snir: Research Talk on reconstructing Evolution from the Tiniest Fractions

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    Sagi Snir: Research Talk on reconstructing Evolution from the Tiniest Fractions
    0
    Date
    August 4, 2016
    08/04/2016: 10:30-11:15 Research Talk by Sagi Snir Research Talk on reconstructing Evolution from the Tiniest Fractions: Basics, Challenges, and Application 1. Steel, M., 1992. The complexity […]
  • Kirk Lohmueller: Comparison of the Distribution of Fitness Effects across Species using the Poisson Random Field Framework

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    Kirk Lohmueller: Comparison of the Distribution of Fitness Effects across Species using the Poisson Random Field Framework
    0
    Date
    August 4, 2016
    08/04/2016 @ 11:15-12:15 Research Talk by Kirk Lohmueller Comparison of the Distribution of Fitness Effects across Species using the Poisson Random Field Framework 1. Sawyer, S.A. […]
  • Sriram Sankararaman: Inferring the Structure of Archaic Admixture in Modern Humans

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    Sriram Sankararaman: Inferring the Structure of Archaic Admixture in Modern Humans
    0
    Date
    August 5, 2016
    08/05/2016 @ 11:15-12:00 Research Talk by Sriram Sankararaman Inferring the Structure of Archaic Admixture in Modern Humans 1. Patterson, N., Moorjani, P., Luo, Y., Mallick, S., […]
  • Barbara Engelhardt: Dimension Reduction Methods to identify Latent Structure in Genomic Data

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    Barbara Engelhardt: Dimension Reduction Methods to identify Latent Structure in Genomic Data
    0
    Date
    August 8, 2016
    08/08/2016 @ 09:30-10:30 Tutorial by Barbara Engelhardt Dimension Reduction Methods to identify Latent Structure in Genomic Data
  • Sriram Sankararaman: Challenges in Genomic Privacy

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    Sriram Sankararaman: Challenges in Genomic Privacy
    0
    Date
    August 8, 2016
    08/08/2016 @ 10:30-11:30 Tutorial by Sriram Sankararaman Challenges in Genomic Privacy 1. Erlich, Y. and Narayanan, A., 2014. Routes for breaching and protecting genetic privacy. Nature […]
  • Barbara Engelhardt: Exploring Covariation in Gene Expression Data

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    Barbara Engelhardt: Exploring Covariation in Gene Expression Data
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    Date
    August 9, 2016
    08/09/2016 @ 09:30-10:30 Research Talk by Barbara Engelhardt Exploring Covariation in Gene Expression Data
  • Kenneth Lange: Next Generation Statistical Genetics: Modeling, Penalization, and Optimization in High-dimensional Data

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    Kenneth Lange: Next Generation Statistical Genetics: Modeling, Penalization, and Optimization in High-dimensional Data
    0
    Date
    August 9, 2016
    08/09/2016 @ 10:30-11:30 Tutorial by Kenneth Lange Next Generation Statistical Genetics: Modeling, Penalization, and Optimization in High-dimensional Data 1. Lange, K., Papp, J.C., Sinsheimer, J.S. and […]
  • Jo Hardin: Assumptions in Normalizing RNASeq Data

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    Jo Hardin: Assumptions in Normalizing RNASeq Data
    0
    Date
    August 10, 2016
    08/10/2016 @ 09:30-10:30< Research Talk by Jo Hardin Assumptions in Normalizing RNASeq Data 1. Wang, Z., Gerstein, M. and Snyder, M., 2009. RNA-Seq: a revolutionary tool […]
  • Jonathan Flint: Quantitative Trait Locus Detection

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    Jonathan Flint: Quantitative Trait Locus Detection
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    Date
    August 10, 2016
    08/10/2016 @ 15:00-16:00 Tutorial by Jonathan Flint Quantitative Trait Locus Detection 1. Flint, J., Valdar, W., Shifman, S. and Mott, R., 2005. Strategies for mapping and […]
  • Kin Fai Au (External, non-CGSI Event)

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    Kin Fai Au (External, non-CGSI Event)
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    Date
    August 10, 2016
    08/10/2016 @ 16:00-17:00 External (non-CGSI) Event presented by Kin Fai Au UCLA Bioinformatics Lecture: Transcriptome Analysis by Hybrid Sequencing 1. Au, K.F., Sebastiano, V., Afshar, P.T., […]
  • David Koslicki: Bacterial Community Reconstruction via Compressed Sensing

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    David Koslicki: Bacterial Community Reconstruction via Compressed Sensing
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    Date
    August 11, 2016
    08/11/2016 @ 09:30-10:30 Tutorial by David Koslicki Bacterial Community Reconstruction via Compressed Sensing 1. Candès, E.J. and Wakin, M.B., 2008. An introduction to compressive sampling. IEEE […]
  • Jason Ernst: Functional Genomics Time-series Analysis

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    Jason Ernst: Functional Genomics Time-series Analysis
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    Date
    August 11, 2016
    08/11/2016 @ 10:30-11:30 Tutorial by Jason Ernst Functional Genomics Time-series Analysis 1. Ernst, J., Nau, G.J. and Bar-Joseph, Z., 2005. Clustering short time series gene expression […]
  • Joel Mefford: Linear Mixed Models – and their Equivalents

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    Joel Mefford: Linear Mixed Models – and their Equivalents
    0
    Date
    August 12, 2016
    08/12/2016 @ 10:00-11:00 Research Talk by Joel Mefford Linear Mixed Models – and their Equivalents
  • Vasilis Ntranos: Clustering a million cells: Large-scale scRNA-Seq data analysis

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    Vasilis Ntranos: Clustering a million cells: Large-scale scRNA-Seq data analysis
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    Date
    July 6, 2017
    07/06/2017 @ 09:25-09:55 Retreat Research Talk by Vasilis Ntranos Clustering a million cells: Large-scale scRNA-Seq data analysis 1. Ntranos, V., Kamath, G.M., Zhang, J.M., Pachter, L. […]
  • Serghei Mangul: Squeezing the last drop out of next generation sequencing data

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    Serghei Mangul: Squeezing the last drop out of next generation sequencing data
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    Date
    July 6, 2017
    07/06/2017 @ 10:40-11:10 Retreat Research Talk by Serghei Mangul Squeezing the last drop out of next generation sequencing data
  • Andy Dahl: Adjusting for principal components of molecular phenotypes induces replicating false positives

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    Andy Dahl: Adjusting for principal components of molecular phenotypes induces replicating false positives
    0
    Date
    July 6, 2017
    07/06/2017 @ 13:10-13:40 Retreat Research Talk by Andy Dahl Adjusting for principal components of molecular phenotypes induces replicating false positives 1. Dahl, A., Guillemot, V., Mefford, […]
  • Ilan Gronau: Population phylogenomics: A genealogical perspective

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    Ilan Gronau: Population phylogenomics: A genealogical perspective
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    Date
    July 6, 2017
    07/06/2017 @ 14:10-14:40 Retreat Research Talk by Ilan Gronau Population phylogenomics: A genealogical perspective 1. Gronau, I., Hubisz, M.J., Gulko, B., Danko, C.G. and Siepel, A., […]
  • Na Cai: Heterogeneity in depression

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    Na Cai: Heterogeneity in depression
    0
    Date
    July 6, 2017
    We apologize that this video is currently unavailable. 07/06/2017 @ 14:40-15:10 Retreat Research Talk by Na Cai Heterogeneity in depression 1. Cai, N., Bigdeli, T.B., Kretzschmar, […]
  • Marzia Cremona: Functional data analysis testing and linear modeling for high-resolution “omics” data

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    Marzia Cremona: Functional data analysis testing and linear modeling for high-resolution “omics” data
    0
    Date
    July 7, 2017
    07/07/2017 @ 09:10-09:40 Retreat Research Talk by Marzia Cremona Functional data analysis testing and linear modeling for high-resolution “omics” data 1. Campos-Sánchez, R., Cremona, M.A., Pini, […]
  • David Koslicki: Improving Min Hash for Metagenomic Classification

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    David Koslicki: Improving Min Hash for Metagenomic Classification
    0
    Date
    July 7, 2017
    07/07/2017 @ 09:40-10:10 Retreat Research Talk by David Koslicki Improving Min Hash for Metagenomic Classification 1. Broder, A.Z., 1997, June. On the resemblance and containment of […]
  • Anil Ori: Integration of longitudinal gene expression with polygenic disease risk establishes human neuronal differentiation as a model to study schizophrenia

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    Anil Ori: Integration of longitudinal gene expression with polygenic disease risk establishes human neuronal differentiation as a model to study schizophrenia
    0
    Date
    July 7, 2017
    07/07/2017 @ 13:10-13:40 Retreat Research Talk by Anil Ori Integration of longitudinal gene expression with polygenic disease risk establishes human neuronal differentiation as a model to […]
  • YoSon Park: Large, diverse population cohorts of hiPSCs and derived hepatocyte-like cells reveal functional genetic variation at blood lipid-associated loci

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    YoSon Park: Large, diverse population cohorts of hiPSCs and derived hepatocyte-like cells reveal functional genetic variation at blood lipid-associated loci
    0
    Date
    July 7, 2017
    07/07/2017 @ 14:00-14:30 Retreat Research Talk by YoSon Park Large, diverse population cohorts of hiPSCs and derived hepatocyte-like cells reveal functional genetic variation at blood lipid-associated […]
  • Nikita Alexeev: Estimation of the rate of transpositions and the true evolutionary distance

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    Nikita Alexeev: Estimation of the rate of transpositions and the true evolutionary distance
    0
    Date
    July 7, 2017
    07/07/2017 @ 14:30-15:00 Retreat Research Talk by Nikita Alexeev Estimation of the rate of transpositions and the true evolutionary distance 1. Alexeev, N. and Alekseyev, M.A., […]
  • Loes Olde Loohuis: Transcriptome analysis in whole blood reveals increased microbial diversity in schizophrenia

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    Loes Olde Loohuis: Transcriptome analysis in whole blood reveals increased microbial diversity in schizophrenia
    0
    Date
    July 7, 2017
    07/07/2017 @ 15:00-15:30 Retreat Research Talk by Loes Olde Loohuis Transcriptome analysis in whole blood reveals increased microbial diversity in schizophrenia 1. Mangul, S., Loohuis, L.M.O., […]
  • Lior Pachter: An introduction to pseudoalignment

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    Lior Pachter: An introduction to pseudoalignment
    0
    Date
    July 10, 2017
    07/10/2017 @ 09:15-10:00 Research Talk by Lior Pachter An introduction to pseudoalignment 1. Bray, N.L., Pimentel, H., Melsted, P. and Pachter, L., 2016. Near-optimal probabilistic RNA-seq […]
  • Ilan Gronau: Demography inference: From parameter estimation to model selection

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    Ilan Gronau: Demography inference: From parameter estimation to model selection
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    Date
    July 10, 2017
    07/10/2017 @ 10:00-10:45 Tutorial by Ilan Gronau Demography inference: From parameter estimation to model selection 1. Gronau, I., Hubisz, M.J., Gulko, B., Danko, C.G. and Siepel, […]
  • Jennifer Listgarten: Machine learning for CRISPR gene editing

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    Jennifer Listgarten: Machine learning for CRISPR gene editing
    0
    Date
    July 10, 2017
    07/10/2017 @ 13:30-14:15 Research Talk by Jennifer Listgarten Machine learning for CRISPR gene editing 1. Fusi, N., Smith, I., Doench, J. and Listgarten, J., 2015. In […]
  • Dana Pe’er: Imputation in Single Cell RNA-seq Data

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    Dana Pe’er: Imputation in Single Cell RNA-seq Data
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    Date
    July 10, 2017
    07/10/2017 @ 14:45-15:30 Research Talk by Dana Pe’er Imputation in Single Cell RNA-seq Data 1. van Dijk, D., Nainys, J., Sharma, R., Kathail, P., Carr, A.J., […]
  • Michael Schatz: Advances in genome sequencing and assembly

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    Michael Schatz: Advances in genome sequencing and assembly
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    Date
    July 10, 2017
    07/10/2017 @ 16:00-16:45 Research Talk by Michael Schatz Advances in genome sequencing and assembly 1. Schatz, M.C., Delcher, A.L. and Salzberg, S.L., 2010. Assembly of large […]
  • James Zou: Deep learning in genomics: Introduction and examples

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    James Zou: Deep learning in genomics: Introduction and examples
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    Date
    July 11, 2017
    07/11/2017 @ 11:15-12:00 Research Talk by James Zou Deep learning in genomics: Introduction and examples
  • Alexander Schönhuth: Assembling polyploid genomes

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    Alexander Schönhuth: Assembling polyploid genomes
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    Date
    July 11, 2017
    We apologize that this video is currently unavailable. 07/11/2017 @ 09:15-10:00 Tutorial by Alexander Schönhuth Assembling polyploid genomes 1. Baaijens, J.A., El Aabidine, A.Z., Rivals, E. […]
  • William (Xiaoquan) Wen: Bayesian approaches for integrative genetic association analysis: Data integration and scalable computation

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    William (Xiaoquan) Wen: Bayesian approaches for integrative genetic association analysis: Data integration and scalable computation
    0
    Date
    July 11, 2017
    07/11/2017 @ 10:00-10:45 Research Talk by William (Xiaoquan) Wen Bayesian approaches for integrative genetic association analysis: Data integration and scalable computation 1. Wen, X., Lee, Y., […]
  • Can Alkan: Next-generation sequence characterization of complex genome structural variation

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    Can Alkan: Next-generation sequence characterization of complex genome structural variation
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    Date
    July 11, 2017
    07/11/2017 @ 12:00-12:45 Research Talk by Can Alkan Next-generation sequence characterization of complex genome structural variation 1. Alkan, C., Coe, B.P. and Eichler, E.E., 2011. Genome […]
  • David Koslicki: The CAMI Project: Assessment of computational techniques in metagenomics

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    David Koslicki: The CAMI Project: Assessment of computational techniques in metagenomics
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    Date
    July 12, 2017
    07/12/2017 @ 09:15-10:00 Tutorial by David Koslicki The CAMI Project: Assessment of computational techniques in metagenomics 1. Sczyrba, A., Hofmann, P., Belmann, P., Koslicki, D., Janssen, […]
  • David Tse: How to solve NP-hard assembly problems in linear time

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    David Tse: How to solve NP-hard assembly problems in linear time
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    Date
    July 12, 2017
    07/12/2017 @ 10:00-10:45 Tutorial by David Tse How to solve NP-hard assembly problems in linear time 1. Bresler, G., Bresler, M.A. and Tse, D., 2013. Optimal […]
  • Ran Blekhman: Human genomic control of the microbiome

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    Ran Blekhman: Human genomic control of the microbiome
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    Date
    July 12, 2017
    07/12/2017 @ 13:30-14:15 Research Talk by Ran Blekhman Human genomic control of the microbiome 1. Goodrich, J.K., Waters, J.L., Poole, A.C., Sutter, J.L., Koren, O., Blekhman, […]
  • Daniel Wegmann: Tracing the spread of farming using ancient DNA: Bioinformatic challenges and population genetic insights

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    Daniel Wegmann: Tracing the spread of farming using ancient DNA: Bioinformatic challenges and population genetic insights
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    Date
    July 12, 2017
    07/12/2017 @ 14:45-15:30 Research Talk by Daniel Wegmann Tracing the spread of farming using ancient DNA: Bioinformatic challenges and population genetic insights 1. Kousathanas, A., Leuenberger, […]
  • Brian Browning: Genotype phasing with large sample sizes

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    Brian Browning: Genotype phasing with large sample sizes
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    Date
    July 12, 2017
    07/12/2017 @ 16:00-16:45 Research Talk by Brian Browning Genotype phasing with large sample sizes 1. Kong, A., Masson, G., Frigge, M.L., Gylfason, A., Zusmanovich, P., Thorleifsson, […]
  • Or Zuk: Co-evolution analysis: Methods and applications

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    Or Zuk: Co-evolution analysis: Methods and applications
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    Date
    July 13, 2017
    07/13/2017 @ 09:00-09:45 Tutorial by Or Zuk Co-evolution analysis: Methods and applications 1. Felsenstein, J., 1985. Phylogenies and the comparative method. The American Naturalist, 125(1), pp.1-15. […]
  • Itsik Pe’er: Identity by descent in medical and population genomics

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    Itsik Pe’er: Identity by descent in medical and population genomics
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    Date
    July 13, 2017
    07/13/2017 @ 09:45-10:30 Tutorial by Itsik Pe’er Identity by descent in medical and population genomics 1. Palamara, P.F., Francioli, L.C., Wilton, P.R., Genovese, G., Gusev, A., […]
  • Lior Pachter: Differential analysis of count data in genomics

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    Lior Pachter: Differential analysis of count data in genomics
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    Date
    July 13, 2017
    07/13/2017 @ 13:00-13:45 Tutorial by Lior Pachter Differential analysis of count data in genomics 1. Anders, S. and Huber, W., 2010. Differential expression analysis for sequence […]
  • Melissa Gymrek: Analyzing complex repeat variation from high throughput sequencing data

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    Melissa Gymrek: Analyzing complex repeat variation from high throughput sequencing data
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    Date
    July 13, 2017
    07/13/2017 @ 13:45-14:30 Research Talk by Melissa Gymrek Analyzing complex repeat variation from high throughput sequencing data 1. Gymrek, M., Golan, D., Rosset, S. and Erlich, […]
  • Leonid Kruglyak: Complex Traits and Simple Systems

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    Leonid Kruglyak: Complex Traits and Simple Systems
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    Date
    July 13, 2017
    07/13/2017 @ 15:00-15:45 Research Talk by Leonid Kruglyak Complex Traits and Simple Systems
  • Elhanan Borenstein: Multi-omic and model-based analysis of the human microbiome

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    Elhanan Borenstein: Multi-omic and model-based analysis of the human microbiome
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    Date
    July 13, 2017
    07/13/2017 @ 15:45-16:30 Research Talk by Elhanan Borenstein Multi-omic and model-based analysis of the human microbiome 1. Manor, O. and Borenstein, E., 2017. Systematic Characterization and […]
  • Saharon Rosset: Stochastic process models for mutations, their estimation from data, and their uses

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    Saharon Rosset: Stochastic process models for mutations, their estimation from data, and their uses
    0
    Date
    July 14, 2017
    07/14/2017 @ 09:15-10:00 Tutorial by Saharon Rosset Stochastic process models for mutations, their estimation from data, and their uses 1. Huelsenbeck, J.P. and Crandall, K.A., 1997. […]
  • Jason Ernst: Computational approaches for deciphering the non-coding human genome

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    Jason Ernst: Computational approaches for deciphering the non-coding human genome
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    Date
    July 14, 2017
    07/14/2017 @ 10:00-10:45 Research Talk by Jason Ernst Computational approaches for deciphering the non-coding human genome 1. Ernst, J. and Kellis, M., 2010. Discovery and characterization […]
  • Alex Zelikovsky: Inference of metabolic pathway activity from metatranscriptomic reads

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    Alex Zelikovsky: Inference of metabolic pathway activity from metatranscriptomic reads
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    Date
    July 14, 2017
    07/14/2017 @ 13:30-14:15 Research Talk by Alex Zelikovsky Inference of metabolic pathway activity from metatranscriptomic reads 1. Temate-Tiagueu, Y., Al Seesi, S., Mathew, M., Mandric, I., […]
  • Cenk Sahinalp: HIT’nDRIVE: Patient-Specific Multi-Driver Gene Prioritization for Precision Oncology

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    Cenk Sahinalp: HIT’nDRIVE: Patient-Specific Multi-Driver Gene Prioritization for Precision Oncology
    0
    Date
    July 14, 2017
    07/14/2017 @ 14:45-15:30 Research Talk by Cenk Sahinalp HIT’nDRIVE: Patient-Specific Multi-Driver Gene Prioritization for Precision Oncology 1. El-Kebir, M., Satas, G., Oesper, L. and Raphael, B.J., […]
  • Sagi Snir: A universal PaceMaker as a better explanation of evolution and aging

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    Sagi Snir: A universal PaceMaker as a better explanation of evolution and aging
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    Date
    July 14, 2017
    07/14/2017 @ 16:00-16:45 Research Talk by Sagi Snir A universal PaceMaker as a better explanation of evolution and aging 1. Snir, S., Wolf, Y.I. and Koonin, […]
  • David Tse: Maximally correlation and principal component analysis

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    David Tse: Maximally correlation and principal component analysis
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    Date
    July 17, 2017
    07/17/2017 @ 09:15-10:00 Research Talk by David Tse Maximally correlation and principal component analysis 1. Rényi, A., 1959. On measures of dependence. Acta mathematica hungarica, 10(3-4), […]
  • Saharon Rosset: Quality preserving databases for statistically sound “big data” analysis on public databases

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    Saharon Rosset: Quality preserving databases for statistically sound “big data” analysis on public databases
    0
    Date
    July 17, 2017
    07/17/2017 @ 10:30-11:15 Research Talk by Saharon Rosset Quality preserving databases for statistically sound “big data” analysis on public databases 1. Rosset, S., Aharoni, E. and […]
  • Kin Fai Au: Transcriptome analysis at the gene isoform level using hybrid sequencing

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    Kin Fai Au: Transcriptome analysis at the gene isoform level using hybrid sequencing
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    Date
    July 17, 2017
    07/17/2017 @ 14:30-15:15 Research Talk by Kin Fai Au Transcriptome analysis at the gene isoform level using hybrid sequencing 1. Au, K.F., Sebastiano, V., Afshar, P.T., […]
  • Jo Hardin: Prediction intervals for random forests with applications to high throughput data

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    Jo Hardin: Prediction intervals for random forests with applications to high throughput data
    0
    Date
    July 18, 2017
    07/18/2017 @ 09:15-10:00 Research Talk by Jo Hardin Prediction intervals for random forests with applications to high throughput data 1. Chen, X. and Ishwaran, H., 2012. […]
  • Ilan Gronau: Inferring a complex network of interbreeding between modern and archaic humans

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    Ilan Gronau: Inferring a complex network of interbreeding between modern and archaic humans
    0
    Date
    July 18, 2017
    07/18/2017 @ 10:30-11:30 Research Talk by Ilan Gronau Inferring a complex network of interbreeding between modern and archaic humans 1. Green, R.E., Krause, J., Briggs, A.W., […]
  • John Novembre: Computational tools for understanding population structure in genetic variation data

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    John Novembre: Computational tools for understanding population structure in genetic variation data
    0
    Date
    July 19, 2017
    07/19/2017 @ 09:15-10:00 Tutorial by John Novembre Computational tools for understanding population structure in genetic variation data 1. Novembre, J. and Stephens, M., 2008. Interpreting principal […]
  • Ben Raphael: Inferring tumor evolution

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    Ben Raphael: Inferring tumor evolution
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    Date
    July 19, 2017
    07/19/2017 @ 10:30-11:15 Tutorial by Ben Raphael Inferring tumor evolution
  • Or Zuk: Estimating gene-specific selection parameters from human variation data

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    Or Zuk: Estimating gene-specific selection parameters from human variation data
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    Date
    July 19, 2017
    07/19/2017 @ 13:30-14:15 Research Talk by Or Zuk Estimating gene-specific selection parameters from human variation data: New methods and applications 1. Zuk, O., Schaffner, S.F., Samocha, […]
  • Jae-Hoon Sul: Large-scale genetic studies of human complex traits

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    Jae-Hoon Sul: Large-scale genetic studies of human complex traits
    0
    Date
    July 20, 2017
    07/20/2017 @ 09:15-10:00 Research Talk by Jae-Hoon Sul Large-scale genetic studies of human complex traits 1. Sul, J.H., Cade, B.E., Cho, M.H., Qiao, D., Silverman, E.K., […]
  • Fabio Vandin: Computational discovery of significantly mutated genes and pathways in cancer

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    Fabio Vandin: Computational discovery of significantly mutated genes and pathways in cancer
    0
    Date
    July 20, 2017
    07/20/2017 @ 10:30-11:15 Tutorial by Fabio Vandin Computational discovery of significantly mutated genes and pathways in cancer 1. Vandin, F., Upfal, E. and Raphael, B.J., 2011. […]
  • David Koslicki: Using the Earth-mover’s Distance to compare microbial communities

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    David Koslicki: Using the Earth-mover’s Distance to compare microbial communities
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    Date
    July 20, 2017
    07/20/2017 @ 13:30-14:15 Research Talk by David Koslicki Using the Earth-mover’s Distance to compare microbial communities 1. McClelland, J. and Koslicki, D., 2016. EMDUnifrac: Exact linear […]
  • Francesca Chiaromonte: Statistics for large, complex data and its role in “Omics” research

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    Francesca Chiaromonte: Statistics for large, complex data and its role in “Omics” research
    0
    Date
    July 21, 2017
    07/21/2017 @ 10:30-11:15 Research Talk by Francesca Chiaromonte Statistics for large, complex data and its role in “Omics” research 1. Liu, Y., Chiaromonte, F. and Li, […]
  • Sagiv Shifman: Genomics approaches to study neurodevelopmental disorders

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    Sagiv Shifman: Genomics approaches to study neurodevelopmental disorders
    0
    Date
    July 21, 2017
    07/21/2017 @ 13:30-14:15 Research Talk by Sagiv Shifman Genomics approaches to study neurodevelopmental disorders 1. Ben-David, E. and Shifman, S., 2012. Networks of neuronal genes affected […]
  • Bogdan Pasaniuc: Genetic correlations to gain insights into relations between traits

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    Bogdan Pasaniuc: Genetic correlations to gain insights into relations between traits
    0
    Date
    July 24, 2017
    07/24/2017 @ 09:15-10:00 Tutorial by Bogdan Pasaniuc Genetic correlations to gain insights into relations between traits 1. Mancuso, N., Shi, H., Goddard, P., Kichaev, G., Gusev, […]
  • Jessica (Jingyi) Li: Neyman-Pearson (NP) classification algorithms and NP Receiver Operating Characteristic (NP-ROC) curves

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    Jessica (Jingyi) Li: Neyman-Pearson (NP) classification algorithms and NP Receiver Operating Characteristic (NP-ROC) curves
    0
    Date
    July 24, 2017
    07/24/2017 @ 10:30-11:15 Research Talk by Jessica (Jingyi) Li Neyman-Pearson (NP) classification algorithms and NP Receiver Operating Characteristic (NP-ROC) curves 1. Tong, X., Feng, Y. and […]
  • Fabio Vandin: Computational methods for survival analysis in genome-wide cancer studies

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    Fabio Vandin: Computational methods for survival analysis in genome-wide cancer studies
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    Date
    July 24, 2017
    07/24/2017 @ 13:30-14:15 Research Talk by Fabio Vandin Computational methods for survival analysis in genome-wide cancer studies 1. Vandin, F., Upfal, E. and Raphael, B.J., 2011. […]
  • Sriram Sankararaman: Probabilistic PCA for large-scale genetic data

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    Sriram Sankararaman: Probabilistic PCA for large-scale genetic data
    0
    Date
    July 25, 2017
    07/25/2017 @ 09:00-10:00 Research Talk by Sriram Sankararaman Probabilistic PCA for large-scale genetic data
  • Kirk Lohmueller: Variation in positive and negative selection across the Tree of Life

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    Kirk Lohmueller: Variation in positive and negative selection across the Tree of Life
    0
    Date
    July 25, 2017
    07/25/2017 @ 10:30-11:30 Research Talk by Kirk Lohmueller Variation in positive and negative selection across the Tree of Life 1. Galtier, N., 2016. Adaptive protein evolution […]
  • Fereydoun Hormozdiari: Discovery of genetic variants and modules in neurodevelopmental disorders

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    Fereydoun Hormozdiari: Discovery of genetic variants and modules in neurodevelopmental disorders
    0
    Date
    July 25, 2017
    07/25/2017 @ 13:30-14:15 Research Talk by Fereydoun Hormozdiari Discovery of genetic variants and modules in neurodevelopmental disorders 1. O’Roak, B.J., Vives, L., Girirajan, S., Karakoc, E., […]
  • Noah Zaitlen: Covariate adjustment in genetics and genomics

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    Noah Zaitlen: Covariate adjustment in genetics and genomics
    0
    Date
    July 26, 2017
    07/26/2017 @ 09:00-10:00 Tutorial by Noah Zaitlen Covariate adjustment in genetics and genomics 1. Zaitlen, N., Lindström, S., Pasaniuc, B., Cornelis, M., Genovese, G., Pollack, S., […]
  • Barbara Engelhardt: Joint analysis of gene expression levels and histological images identifies genes associated with tissue morphology

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    Barbara Engelhardt: Joint analysis of gene expression levels and histological images identifies genes associated with tissue morphology
    0
    Date
    July 26, 2017
    07/26/2017 @ 10:30-11:00 Research Talk by Barbara Engelhardt Joint analysis of gene expression levels and histological images identifies genes associated with tissue morphology 1. Heard, N.A., […]
  • Nelson Freimer: The Depression Grand Challenge: UCLA’s Big Data Initiative for Brain Health

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    Nelson Freimer: The Depression Grand Challenge: UCLA’s Big Data Initiative for Brain Health
    0
    Date
    September 21, 2017
    07/19/2017 UCLA Undergraduate Research Program in Neurogenetics 12:00pm in the Gonda First Floor Conference Room Research Talk by Nelson Freimer The Depression Grand Challenge: UCLA’s Big Data […]
  • Jonathan Flint: Genes can “Influence” Personality and Behavior

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    Jonathan Flint: Genes can “Influence” Personality and Behavior
    0
    Date
    September 21, 2017
    07/26/2017 UCLA Undergraduate Research Program in Neurogenetics 12:00pm in the Gonda First Floor Conference Room Research Talk by Jonathan Flint Genes can “Influence” Personality and Behavior
  • Roel Ophoff: Genomic Studies of Psychiatric Disorders

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    Roel Ophoff: Genomic Studies of Psychiatric Disorders
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    Date
    September 21, 2017
    08/09/2017 UCLA Undergraduate Research Program in Neurogenetics 12:00pm in the MacDonald Research Labs First Floor Conference Room Research Talk by Roel Ophoff Genomic Studies of Psychiatric […]
  • Po-Ru Loh: Detecting mosaic chromosomal alterations using long-range phasing

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    Po-Ru Loh: Detecting mosaic chromosomal alterations using long-range phasing
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    Date
    March 8, 2018
    Feb 26th – March 2nd 2018 CGWI – Computational Genomics Winter Institute IPAM Lecture Hall Research Talk by Po-Ru Loh Detecting mosaic chromosomal alterations using long-range phasing
  • Roger Piqué-Regí: Tools for identifying gene regulatory variants and GxE interactions for molecular phenotypes

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    Roger Piqué-Regí: Tools for identifying gene regulatory variants and GxE interactions for molecular phenotypes
    0
    Date
    March 8, 2018
    Feb 26th – March 2nd 2018 CGWI – Computational Genomics Winter Institute IPAM Lecture Hall Research Talk by Roger Piqué-Regí Tools for identifying gene regulatory variants and […]
  • Kayhan Batmanghelich: Imaging as High-Dimensional Endophenotype

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    Kayhan Batmanghelich: Imaging as High-Dimensional Endophenotype
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    Date
    March 8, 2018
    Feb 26th – March 2nd 2018 CGWI – Computational Genomics Winter Institute IPAM Lecture Hall Research Talk by Kayhan Batmanghelich Imaging as High-Dimensional Endophenotype
  • Geoffrey Schiebinger: Analyzing Developmental Processes with Optimal Transport

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    Geoffrey Schiebinger: Analyzing Developmental Processes with Optimal Transport
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    Date
    March 8, 2018
    Feb 26th – March 2nd 2018 CGWI – Computational Genomics Winter Institute IPAM Lecture Hall Research Talk by Geoffrey Schiebinger Analyzing Developmental Processes with Optimal Transport
  • Smita Krishnaswamy: Manifold-Learning Yields Insights into Single Cell Data Analysis

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    Smita Krishnaswamy: Manifold-Learning Yields Insights into Single Cell Data Analysis
    0
    Date
    March 8, 2018
    Feb 26th – March 2nd 2018 CGWI – Computational Genomics Winter Institute IPAM Lecture Hall Research Talk by Smita Krishnaswamy Manifold-Learning Yields Insights into Single Cell Data […]
  • Alex Zelikovsky: Modeling and Simulating Evolution and Spread of RNA Viruses

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    Alex Zelikovsky: Modeling and Simulating Evolution and Spread of RNA Viruses
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    Date
    March 8, 2018
    Feb 26th – March 2nd 2018 CGWI – Computational Genomics Winter Institute IPAM Lecture Hall Research Talk by Alex Zelikovsky Modeling and Simulating Evolution and Spread of […]
  • David Knowles: Probabilistic programming for genomics

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    David Knowles: Probabilistic programming for genomics
    0
    Date
    March 8, 2018
    Feb 26th – March 2nd, 2018 CGWI – Computational Genomics Winter Institute IPAM Lecture Hall Research Talk by David Knowles Probabilistic programming for genomics
  • Peter Kharchenko: Single-cell analysis of heterogeneity in normal and disease tissues

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    Peter Kharchenko: Single-cell analysis of heterogeneity in normal and disease tissues
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    Date
    March 8, 2018
    Feb 26th – March 2nd, 2018 CGWI – Computational Genomics Winter Institute IPAM Lecture Hall Research Talk by Peter Kharchenko Single-cell analysis of heterogeneity in normal and […]
  • Melissa Gymrek: Interpreting the role of short tandem repeats in human phenotypes

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    Melissa Gymrek: Interpreting the role of short tandem repeats in human phenotypes
    0
    Date
    March 8, 2018
    Feb 26th – March 2nd, 2018 CGWI – Computational Genomics Winter Institute IPAM Lecture Hall Research Talk by Melissa Gymrek Interpreting the role of short tandem repeats […]
  • Alexis Battle: Methods for analysis of rare genetic variants

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    Alexis Battle: Methods for analysis of rare genetic variants
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    Date
    March 8, 2018
    Feb 26th – March 2nd, 2018 CGWI – Computational Genomics Winter Institute IPAM Lecture Hall Research Talk by Alexis Battle Methods for analysis of rare genetic variants
  • John Novembre: Computational tools for understanding geographic structure in genetic variation data

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    John Novembre: Computational tools for understanding geographic structure in genetic variation data
    0
    Date
    March 8, 2018
    Feb 26th – March 2nd, 2018 CGWI – Computational Genomics Winter Institute IPAM Lecture Hall Research Talk by John Novembre Computational tools for understanding geographic structure in […]
  • Yanjun Qi: Making Deep Learning Interpretable for Analyzing Sequential Data about Gene Regulation

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    Yanjun Qi: Making Deep Learning Interpretable for Analyzing Sequential Data about Gene Regulation
    0
    Date
    March 8, 2018
    Feb 26th – March 2nd, 2018 CGWI – Computational Genomics Winter Institute IPAM Lecture Hall Research Talk by Yanjun Qi Making Deep Learning Interpretable for Analyzing Sequential […]
  • William Noble: Machine learning methods for making sense of big genomic data

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    William Noble: Machine learning methods for making sense of big genomic data
    0
    Date
    March 8, 2018
    Feb 26th – March 2nd, 2018 CGWI – Computational Genomics Winter Institute IPAM Lecture Hall Research Talk by William Noble Machine learning methods for making sense of […]
  • Hae Kyung Im: Prediction and Dissection of Complex Traits

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    Hae Kyung Im: Prediction and Dissection of Complex Traits
    0
    Date
    March 9, 2018
    Feb 26th – March 2nd, 2018 CGWI – Computational Genomics Winter Institute IPAM Lecture Hall Research Talk by Hae Kyung Im Prediction and Dissection of Complex Traits
  • Noah Zaitlen: A Short Tutorial on Linear Mixed Model Association Testing in Genetics

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    Noah Zaitlen: A Short Tutorial on Linear Mixed Model Association Testing in Genetics
    0
    Date
    March 9, 2018
    Feb 26th – March 2nd, 2018 CGWI – Computational Genomics Winter Institute IPAM Lecture Hall Research Talk by Noah Zaitlen A Short Tutorial on Linear Mixed Model […]
  • Manuel Rivas: Large-scale inference across population biobanks

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    Manuel Rivas: Large-scale inference across population biobanks
    0
    Date
    March 9, 2018
    Feb 26th – March 2nd, 2018 CGWI – Computational Genomics Winter Institute IPAM Lecture Hall Research Talk by Manuel Rivas Large-scale inference across population biobanks
  • Casey Greene: Deep learning: privacy preserving data sharing along with some hints and tips

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    Casey Greene: Deep learning: privacy preserving data sharing along with some hints and tips
    0
    Date
    March 9, 2018
    Feb 26th – March 2nd, 2018 CGWI – Computational Genomics Winter Institute IPAM Lecture Hall Research Talk by Casey Greene Deep learning: privacy preserving data sharing along […]
  • Sushmita Roy: Regulatory network inference on developmental and evolutionary lineages

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    Sushmita Roy: Regulatory network inference on developmental and evolutionary lineages
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    Date
    March 9, 2018
    Feb 26th – March 2nd, 2018 CGWI – Computational Genomics Winter Institute IPAM Lecture Hall Research Talk by Sushmita Roy Regulatory network inference on developmental and evolutionary […]
  • Su-In Lee: Interpretable Machine Learning for Precision Medicine

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    Su-In Lee: Interpretable Machine Learning for Precision Medicine
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    Date
    March 9, 2018
    Feb 26th – March 2nd, 2018 CGWI – Computational Genomics Winter Institute IPAM Lecture Hall Research Talk by Su-In Lee Interpretable Machine Learning for Precision Medicine

  CGSI is made possible by NIH grant GM112625.