Research in computational molecular biology : 20th Annual Conference, RECOMB 2016, Santa Monica, CA, USA, April 17-21, 2016, Proceedings /: 20th Annual Conference, RECOMB 2016, Santa Monica, CA, USA, April 17-21, 2016, Proceedings. (2016)

• Record Type: Book
• Other Titles: RECOMB 2016
• Further Information: Note: Mona Singh (ed.).
• Editors: (Associate Professor of Computer Science), Singh, Mona
• Other Names: RECOMB (Conference : 2005- ), 20th
• Contents: 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 { An improved null-hypothesis reduces bias -- On Computing Breakpoint Distances for Genomes with Duplicate Genes -- New Genome Similarity Measures based on Conserved Gene Adjacencies -- Fast Phylogenetic Biodiversity Computations Under a Non-Uniform Random Distribution -- Short Abstracts -- SLICER: Inferring Branched, Nonlinear Cellular Trajectories from Single Cell RNA-seq Data -- Multi-track modeling for genome-scale reconstruction of 3D chromatin structure from Hi-C data -- Revealing the Genetic Basis of Immune Traits in the Absence of Experimental Immunophenotyping -- Shall we dense? Comparing design strategies for time series expression experiments -- Enabling Privacy-Preserving GWAS in Heterogeneous Human Populations -- Efficient Privacy-Preserving Read Mapping Using Locality Sensitive Hashing and Secure Kmer Voting -- Finding Mutated Subnetworks Associated with Survival Time in Cancer -- Multi-State Perfect Phylogeny Mixture Deconvolution and Applications to Cancer Sequencing -- Tree inference for single-cell data -- mLDM: a new hierarchical Bayesian statistical model for sparse microbial association discovery -- Low-density locality-sensitive hashing boosts metagenomic binning -- metaSPAdes: a new versatile de novo metagenomics assembler -- Distributed Gradient Descent in Bacterial Food Search.-AptaTRACE: Elucidating Sequence-Structure Binding Motifs by Uncovering Selection Trends in HT-SELEX Experiments -- Fast Bayesian Inference of Copy Number Variants using Hidden Markov Models with Wavelet Compression -- Allele-Specific Quantification of Structural Variations in Cancer Genomes -- Assembly of Long Error-Prone Reads Using de Bruijn Graphs -- Locating a Tree in a Reticulation-Visible Network in Cubic Time -- Joint alignment of multiple protein-protein interaction networks via convex optimization -- Complexes Detection in Biological Networks via Diversified Dense Subgraphs Mining.
• Publisher Details: Switzerland : Springer
• Publication Date: 2016
• Extent: 1 online resource (xxxiv, 274 pages), illustrations (some color)
• Subjects: 570.285; Computer science; Computational biology -- Congresses; Bioinformatics -- Congresses; Bioinformatics; Computational biology; Mathematics -- Applied; Computers -- Programming -- Algorithms; Computers -- Database Management -- Data Mining; Computers -- Data Modeling & Design; Maths for scientists; Algorithms & data structures; Data mining; Bioinformatics; Computer software; Data mining; Data structures (Computer science); Computers -- Computer Science; Life sciences: general issues; Electronic books; Conference papers and proceedings
• Languages: English
• ISBNs: 9783319319575; 3319319574
• Related ISBNs: 9783319319568
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed April 12, 2016).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.