Algorithms for Computational Biology

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

Carlos Martín-Vide, Miguel A. Vega-Rodríguez, Travis Wheeler (Herausgeber)

Buch | Softcover

XVIII, 199 Seiten

2020
Springer International Publishing (Verlag)
9783030422653 (ISBN)

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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. Due to the corona pandemic the conference was postponed to be held together with AlCoB 2021.
The 15 full papers included in this volume were carefully reviewed and selected from 24 submissions. They were organized in topical sections on genomics, phylogenetics, and RNA-Seq and other biological processes.

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.

Erscheinungsdatum	26.02.2020
Reihe/Serie	Lecture Notes in Bioinformatics
Reihe/Serie	Lecture Notes in Computer Science
Zusatzinfo	XVIII, 199 p. 111 illus., 34 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	343 g
Themenwelt	Informatik ► Weitere Themen ► Bioinformatik
Themenwelt	Naturwissenschaften ► Biologie
Schlagworte	Applications • Artificial Intelligence • Bioinformatics • Communication • computational genomics • Computer Networks • Computer Science • conference proceedings • Correlation Analysis • Databases • distributed computer systems • Distributed Systems • Engineering • evolutionary algorithms • Genetic algorithms • graph theory • Image Analysis • Informatics • machine learning • Mathematics • parallel processing systems • Research • Signal Processing • systems biology • theoretical computer science
ISBN-13	9783030422653 / 9783030422653
Zustand	Neuware