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Research in Computational Molecular Biology

20th Annual Conference, RECOMB 2016, Santa Monica, CA, USA, April 17-21, 2016, Proceedings

Medium: Buch
ISBN: 978-3-319-31956-8
Verlag: Springer International Publishing
Erscheinungstermin: 08.04.2016
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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.

Produkteigenschaften

  • Artikelnummer: 9783319319568
  • Medium: Buch
  • ISBN: 978-3-319-31956-8
  • Verlag: Springer International Publishing
  • Erscheinungstermin: 08.04.2016
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2016
  • Serie: Lecture Notes in Computer Science
  • Produktform: Kartoniert, Paperback
  • Gewicht: 4686 g
  • Seiten: 274
  • Format (B x H x T): 155 x 235 x 17 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Herausgeber

Singh, Mona

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.