Research in Computational Molecular Biology  20th Annual Conference, RECOMB 2016, Santa Monica, CA, USA, April 17-21, 2016, Proceedings /  [electronic resource] : 
edited by Mona Singh. 
 - 1st ed. 2016. 
 - XXXIV, 274 p. 64 illus., 41 illus. in color.  online resource. 
 - Lecture Notes in Bioinformatics,  9649  2366-6331 ; .
 - Lecture Notes in Bioinformatics,  9649 .
<br/><br/>Recomb Retrospectives -- The Second Decade of the International Conference on Research in Computational Molecular Biology (RECOMB) -- Extended Abstracts -- A MAD-Bayes Algorithm for State-space Inference and Clustering with Application to Querying Large Collections of ChIP-Seq Data Sets -- Accurate Recovery of Ribosome Positions Reveals Slow Translation of Wobble-Pairing Codons in Yeast -- Multitask matrix completion for learning protein interactions across diseases -- pathTiMEx: Joint Inference of Mutually Exclusive Cancer Pathways and their Dependencies in Tumor Progression -- Clonality inference from single tumor samples using low coverage sequence data -- Flexible Modelling of Genetic Effects on Function-Valued Traits -- MetaFlow: Metagenomic profiling based on whole-genome coverage analysis with min-cost flows -- LUTE (Local Unpruned Tuple Expansion): Accurate continuously flexible protein design with general energy functions and rigid-rotamerlike efficiency -- Improving Bloom filter performance on sequence data using k-mer Bloom filters.-Safe and complete contig assembly via omnitigs -- Long single-molecule reads can resolve the complexity of the Influenza virus composed of rare, closely related mutant variants.-Structural variation detection with read pair information 
<br/><br/> This book constitutes the proceedings of the 20th Annual Conference on Research in Computational Molecular Biology, RECOMB 2016, held in Santa Monica, CA, USA, in April 2016. The 15 regular papers presented in this volume were carefully reviewed and selected from 172 submissions. 20 short abstracts are included in the back matter of the volume. They report on original research in all areas of computational molecular biology and bioinformatics. 
<br/><br/><label>ISBN: </label>9783319319575 
<br/><br/><label>Standard No.: </label>10.1007/978-3-319-31957-5  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Bioinformatics.<br/>Biomathematics.<br/>Algorithms.<br/>Data mining.<br/>Artificial intelligence--Data processing.<br/>Computational and Systems Biology.<br/>Mathematical and Computational Biology.<br/>Algorithms.<br/>Data Mining and Knowledge Discovery.<br/>Data Science.
<br/><br/><label>LC Class. No.: </label>QH324.2-324.25 
<br/><br/><label>Dewey Class. No.: </label>570.285 570.113