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Coffee and Check-In
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Opening Remarks
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Advances in Computational Approaches to Understand Post-Transcriptional Gene Regulation

Uwe Ohler, MDC Berlin
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Break
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Most Transcription Factors Recognize DNA Shape Independent of Sequence

Katherine Pollard, UCSF
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Structural Analysis of the Compendium of RNA-Binding Proteins

Yaron Orenstein, MIT
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Lunch
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A Network-based Approach to Elucidate Disease Mechanisms

Roded Sharan, Tel Aviv University
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Protein Mover’s Distance: A Geometric Approach for Global Alignment of PPI Networks

Hu Ding, Michigan State University
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Break
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Panel/Discussion
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Coffee and Check-In
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Data-Parallel De Bruijn Graph Construction For De Novo Short Read Micro-Assembly on the GPU

Victoria Popic, Stanford University
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Enhancer Bioengineering and Therapeutic Sciences

Nadav Ahituv, UCSF
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Break
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Optimality Results on Compressed Representations for High Throughput Sequence Data

Cenk Şahinalp, Indiana University
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Reverse Engineering of Networks Under Non-Linear Relationships

Martin Vingron, Max Planck Institute for Molecular Genetics
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Lunch
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Special Session Celebrating Mike Waterman's 75th Birthday
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TBA

Bonnie Berger, MIT
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De Bruijn Graphs and Drug Discovery

Pavel Pevzner, UC San Diego
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Break
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TBA

Lior Pachter, UC Berkeley
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TBA

Michael Waterman, University of Southern California
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Coffee and Check-In
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Extracting Replicable Associations Across Multiple Studies: Empirical Bayes Algorithms for Controlling the False Discovery Rate

David Amar, Stanford University
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Periodicity in Streams

Funda Ergün, Indiana University
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Break
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ZINB-WaVE: A General and Flexible Method for Signal Extraction from Single-cell RNA-seq Data

Jean-Philippe Vert, Mines Paristech
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Experiments with Integer Linear Programming in Computational Biology

Dan Gusfield, UC Davis
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Lunch
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Genomic Characterization and Applications of Read-cloud Sequencing Technologies

Iman Hajirasouliha, Cornell University
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Universal Hitting Sets and Minimizers

Ron Shamir, Tel Aviv University
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Break
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The Soil and Other Problems of Precision Oncology

Colin Collins, University of British Columbia
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Panel/Discussion
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Coffee and Check-In
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MethylMarker: The Predictive DNA Methylation Marker Selection Algorithm for Liquid Biopsy

Hayan Lee, Stanford University
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Algorithms for Inferring Evolution and Migration of Tumors

Benjamin Raphael, Princeton University
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Break
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Learning Tumor Phylogenies from Single-Cell Data

Niko Beerenwinkel, ETH Zurich
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BeWith: A Between-Within Method to Discover Relationships between Cancer Modules via Integrated Analysis of Mutual Exclusivity, Co-occurrence and Functional Interactions

Teresa Przytycka, National Center for Biotechnology Information