Algorithms for Computational Biology

7th International Conference, AlCoB 2020, Missoula, MT, USA, April 13–15, 2020, Proceedings

Häftad, Engelska, 2020

Av Carlos Martín-Vide, Miguel A. Vega-Rodríguez, Travis Wheeler, Carlos Martin-Vide, Miguel A. Vega-Rodriguez

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This book constitutes the proceedings of the 7th International Conference on Algorithms for Computational Biology, AlCoB 2020, was planned to be held in Missoula, MT, USA in April 2020.

Produktinformation

Utgivningsdatum2020-02-20
Mått155 x 235 x 13 mm
Vikt341 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor199
FörlagSpringer Nature Switzerland AG
ISBN9783030422653

Tillhör följande kategorier

Programvaruutveckling inom Data och it
Programmeringsböcker inom Data och it
Biovetenskap inom Naturvetenskap och teknik
Artificiell intelligens inom Data och it
Nätverk och kommunikation inom Data och it
Hårdvara inom Data och it

Genomics.- Parallel Generalized Su x Tree Construction for Genomic Data.- A 3.5-Approximation Algorithm for Sorting by Intergenic Transpositions.- Heuristics for Reversal Distance between Genomes with Duplicated Genes.- Extending Maximal Perfect Haplotype Blocks to the Realm of Pangenomics.- Gaps and Runs in Syntenic Alignments.- Phylogenetics.- Comparing Integer Linear Programming to SAT-Solving for Hard Problems in Computational and Systems Biology.- Combining Networks Using Cherry Picking Sequences.- Linear Time Algorithm for Tree-Child Network Containment.- PathOGiST: A Novel Method for Clustering Pathogen Isolates by Combining Multiple Genotyping Signals.- TreeSolve: Rapid Error-Correction of Microbial Gene Trees.- RNA-Seq and Other Biological Processes.- Time Series Adjustment Enhancement of Hierarchical Modeling of Arabidopsis Thaliana Gene Interactions.- BESTox: A Convolutional Neural Network Regression Model Based on Binary-Encoded SMILES for Acute Oral Toxicity Predictionof Chemical Compounds.- Stratified Test Alleviates Batch Effects in Single-Cell Data.- A Topological Data Analysis Approach on Predicting Phenotypes from Gene Expression Data.- BOAssembler: A Bayesian Optimization Framework to Improve RNA-Seq Assembly Performance.