Department of Computer Science
 Rutgers University

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Presentations 2016

Feb. 3, 2016. Big Data in der Genomik. Alexander Schliep at Institut für Informatik, Philipps-Universität Marburg, Marburg, Germany (Invited Talk)

April 18, 2016. Fast Bayesian Inference of Copy Number Variants using Hidden Markov Models with Wavelet Compression. John Wiedenhoeft at RECOMB 2016, Santa Monica, CA (Contributed Talk)

April 20, 2016. Big Data Science with Applications in Genomics. Alexander Schliep at Interuniversity Institute of Bioinformatics in Brussels, Université libre de Bruxelles, Brussels, Belgium (Invited Talk)

June 17, 2016. Compressive Genomics: Statistical Bioinformatics for Genome-Scale Data. Alexander Schliep at Weill Cornell Medicine, Institute for Computational Biomedicine, New York, NY (Invited Talk)

July 11, 2016. Meaningful Data Compression and Reduction of High-Throughput Sequencing Data. Alexander Schliep at ISMB 2016 Special Session on Compressive Omics: Making Big Data Manageable through Data Compression (SST02), Orlando, FL (Invited Talk)