Joel Mefford | Linear Mixed Models – and their Equivalents | CGSI 2016
08/12/2016 @ 10:00-11:00 Research Talk by Joel Mefford Linear Mixed Models – and their Equivalents
Jason Ernst | Functional Genomics Time-series Analysis | CGSI 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 data. Bioinformatics, 21(suppl 1), pp.i159-i168. 2. Ernst, J. and Bar-Joseph, Z., 2006. STEM: a tool for the analysis of short time series gene expression data. BMC bioinformatics, 7(1), p.191….
David Koslicki | Bacterial Community Reconstruction via Compressed Sensing | CGSI 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 signal processing magazine, 25(2), pp.21-30. 2. Koslicki, D., Foucart, S. and Rosen, G., 2013. Quikr: a method for rapid reconstruction of bacterial communities via compressive sensing. Bioinformatics, p.btt336. 3….
Kin Fai Au (External, non-CGSI Event)
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., Durruthy, J.D., Lee, L., Williams, B.A., van Bakel, H., Schadt, E.E., Reijo-Pera, R.A., Underwood, J.G. and Wong, W.H., 2013. Characterization of the human ESC transcriptome by hybrid sequencing. Proceedings…
Jonathan Flint | Quantitative Trait Locus Detection | CGSI 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 cloning quantitative trait genes in rodents. Nature Reviews Genetics, 6(4), pp.271-286.
Jo Hardin | Assumptions in Normalizing RNASeq Data | CGSI 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 for transcriptomics. Nature reviews genetics, 10(1), pp.57-63. 2. Bullard, J.H., Purdom, E., Hansen, K.D. and Dudoit, S., 2010. Evaluation of statistical methods for normalization and differential expression in mRNA-Seq...
Kenneth Lange | Next Generation Statistical Genetics: Modeling, Penalization, and Optimization in High-dimensional Data | CGSI 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 Sobel, E.M., 2014. Next-generation statistical genetics: modeling, penalization, and optimization in high-dimensional data. Annual review of statistics and its application, 1, pp.279-300.
Barbara Engelhardt | Exploring Covariation in Gene Expression Data | CGSI 2016
08/09/2016 @ 09:30-10:30 Research Talk by Barbara Engelhardt Exploring Covariation in Gene Expression Data
Sriram Sankararaman | Challenges in Genomic Privacy | CGSI 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 Reviews Genetics, 15(6), pp.409-421. 2. Gymrek, M., McGuire, A.L., Golan, D., Halperin, E. and Erlich, Y., 2013. Identifying personal genomes by surname inference. Science, 339(6117), pp.321-324. 3. Sankararaman, S.,…
Barbara Engelhardt | Dimension Reduction Methods to identify Latent Structure in Genomic Data | CGSI 2016
08/08/2016 @ 09:30-10:30 Tutorial by Barbara Engelhardt Dimension Reduction Methods to identify Latent Structure in Genomic Data