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. Cand├Ęs, 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…

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.

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.,…