Research in Computational Molecular Biology : 23rd Annual International Conference, RECOMB 2019, Washington, DC, USA, May 5-8, 2019, Proceedings / edited by Lenore J. Cowen.

Format:

Book

Contributor:

Cowen, Lenore J., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science. Lecture notes in bioinformatics 2366-6331 ; 11467

Lecture Notes in Bioinformatics, 2366-6331 ; 11467

Language:

English

Subjects (All):

Bioinformatics.

Information storage and retrieval systems.

Computer arithmetic and logic units.

Artificial intelligence.

Computer science-Mathematics.

Computational and Systems Biology.

Information Storage and Retrieval.

Arithmetic and Logic Structures.

Artificial Intelligence.

Mathematics of Computing.

Local Subjects:

Computational and Systems Biology.

Information Storage and Retrieval.

Arithmetic and Logic Structures.

Artificial Intelligence.

Mathematics of Computing.

Physical Description:

1 online resource (XIV, 337 pages) : 146 illustrations, 67 illustrations in color.

Edition:

1st ed. 2019.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

This book constitutes the proceedings of the 23rd Annual Conference on Research in Computational Molecular Biology, RECOMB 2019, held in Washington, DC, USA, in April 2019. The 17 extended and 20 short abstracts presented were carefully reviewed and selected from 175 submissions. The short abstracts are included in the back matter of the volume. The papers report on original research in all areas of computational molecular biology and bioinformatics.

Contents:

An Efficient, Scalable and Exact Representation of High-Dimensional Color Information Enabled Via de Bruijn Graph Search

Identifying Clinical Terms in Free-Text Notes Using Ontology-Guided Machine Learning

ModHMM: A Modular Supra-Bayesian Genome Segmentation Method

Learning Robust Multi-Label Sample Specific Distances for Identifying HIV-1 Drug Resistance

MethCP: Differentially Methylated Region Detection with Change Point Models

On the Complexity of Sequence to Graph Alignment

Minimization-Aware Recursive K* (MARK*): A Novel, Provable Algorithm that Accelerates Ensemble-based Protein Design and Provably Approximates the Energy Landscape

Sparse Binary Relation Representations for Genome Graph Annotation

How Many Subpopulations is Too Many? Exponential Lower Bounds for Inferring Population Histories

Efficient Construction of a Complete Index for Pan-Genomics Read Alignment

Tumor Copy Number Deconvolution Integrating Bulk and Single-Cell Sequencing Data

OMGS: Optical Map-based Genome Scaffolding

Fast Approximation of Frequent k-mers and Applications to Metagenomics

De Novo Clustering of Long-Read Transcriptome Data Using a Greedy, Quality-Value Based Algorithm

A Sticky Multinomial Mixture Model of Strand-Coordinated Mutational Processes in Cancer

Disentangled Representations of Cellular Identity

RENET: A Deep Learning Approach for Extracting Gene-Disease Associations from Literature

APPLES: Fast Distance Based Phylogenetic Placement

De Novo Peptide Sequencing Reveals a Vast Cyclopeptidome in Human Gut and Other environments

Biological Sequence Modeling with Convolutional Kernel Networks

Dynamic Pseudo-Time Warping of Complex Single-Cell Trajectories

netNMF-sc: A Network Regularization Algorithm for Dimensionality Reduction and Imputation of Single-Cell Expression Data

Geometric Sketching of Single-Cell Data Preserves Transcriptional Structure

Sketching Algorithms for Genomic Data Analysis and Querying in a Secure Enclave

Mitigating Data Scarcity in Protein Binding Prediction Using Meta-Learning

Efficient Estimation and Applications of Cross-Validated Genetic Predictions

Inferring Tumor Evolution from Longitudinal Samples

Scalable Multi-Component Linear Mixed Models with Application to SNP Heritability Estimation

A Note on Computing Interval Overlap Statistics

Distinguishing Biological from Technical Sources of Variation by Leveraging Multiple Methylation Datasets

GRep: Gene Set Representation via Gaussian Embedding

Accurate Sub-Population Detection and Mapping Across Single Cell Experiments with PopCorn

Fast Estimation of Genetic Correlation for Biobank-Scale Data

Distance-Based Protein Folding Powered by Deep Learning

Comparing 3D Genome Organization in Multiple Species Using Phylo-HMRF

Towards a Post-Clustering Test for Didderential Expression

AdaFDR: a Fast, Powerful and Covariate-Adaptive Approach for Multiple Hypothesis Testing.

Other Format:

Printed edition:

ISBN:

978-3-030-17083-7

9783030170837

Access Restriction:

Restricted for use by site license.