Algorithms for Computational Biology

6th International Conference, AlCoB 2019, Berkeley, CA, USA, May 28–30, 2019, Proceedings

AvIan Holmes,Carlos Martín-Vide

Häftad, Engelska, 2019

Del 11488 i serien Lecture Notes in Computer Science

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Beskrivning

This book constitutes the proceedings of the 6th InternationalConference on Algorithms for Computational Biology, AlCoB 2019, held in Berkeley, CA, USA, in May 2019. The 15 full papers presented together with 1 invited paper were carefully reviewed and selected from 30 submissions.

Produktinformation

Utgivningsdatum:2019-04-13
Mått:155 x 235 x 14 mm
Vikt:376 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:225
Förlag:Springer Nature Switzerland AG
ISBN:9783030181734

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT
Biovetenskap inom Naturvetenskap och teknik

Innehållsförteckning

Invited Talk.- New Divide-and-Conquer Techniques for Large-Scale Phylogenetic Estimation.- Biological Networks and Graph Algorithms.- New Polynomial-Time Algorithm around the Scaffolding Problem.- Enumerating Dominant Pathways in Biological Networks by Information Flow Analysis.- Comparing Different Graphlet Measures for Evaluating Network Model Fits to BioGRID PPI Networks.- Graph-Theoretic Partitioning of RNAs and Classification of Pseudoknots.- PathRacer: Racing Profile HMM Paths on Assembly Graph.- Genome Rearrangement, Assembly and Classification.- A Uniform Theory of Adequate Subgraphs for the Genome Median, Halving, and Aliquoting Problems.- Lightweight Metagenomic Classification via eBWT.- MULKSG: MULtiple K Simultaneous Graph Assembly.- Counting Sorting Scenarios and Intermediate Genomes for the Rank Distance.- Generalizations of the Genomic Rank Distance to Indels.- Sequence Analysis, Phylogenetics and Other Biological Processes.- Using INC within Divide-and-Conquer Phylogeny Estimation.- Predicting Methylation from Sequence and Gene Expression Using Deep Learning with Attention.- A Mathematical Model for Enhancer Activation Kinetics During Cell Differentiation.- Transcript Abundance Estimation and the Laminar Packing Problem.- Efficient Algorithms for Finding Edit-Distance Based Motifs.