Research in Computational Molecular Biology : 20th Annual Conference, RECOMB 2016, Santa Monica, CA, USA, April 17-21, 2016, Proceedings / edited by Mona Singh.

Format:

Book

Contributor:

Singh, Mona, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science. Lecture notes in bioinformatics 2366-6331 ; 9649

Lecture Notes in Bioinformatics, 2366-6331 ; 9649

Language:

English

Subjects (All):

Bioinformatics.

Biomathematics.

Algorithms.

Data mining.

Artificial intelligence-Data processing.

Computational and Systems Biology.

Mathematical and Computational Biology.

Data Mining and Knowledge Discovery.

Data Science.

Local Subjects:

Computational and Systems Biology.

Mathematical and Computational Biology.

Algorithms.

Data Mining and Knowledge Discovery.

Data Science.

Physical Description:

1 online resource (XXXIV, 274 pages) : 64 illustrations, 41 illustrations in color.

Edition:

1st ed. 2016.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2016.

System Details:

text file PDF

Summary:

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.

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.

Other Format:

Printed edition:

ISBN:

978-3-319-31957-5

9783319319575

Access Restriction:

Restricted for use by site license.