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Algorithms for computational biology...
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AICoB (Conference) (2020 :)
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Algorithms for computational biology = 7th International Conference, AlCoB 2020, Missoula, MT, USA, April 13-15, 2020 : proceedings /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Algorithms for computational biology/ edited by Carlos Martin-Vide, Miguel A. Vega-Rodriguez, Travis Wheeler.
Reminder of title:
7th International Conference, AlCoB 2020, Missoula, MT, USA, April 13-15, 2020 : proceedings /
remainder title:
AICoB 2020
other author:
Martin-Vide, Carlos.
corporate name:
AICoB (Conference)
Published:
Cham :Springer International Publishing : : 2020.,
Description:
xviii, 199 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
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 Prediction of 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.
Contained By:
Springer Nature eBook
Subject:
Bioinformatics - Congresses. -
Online resource:
https://doi.org/10.1007/978-3-030-42266-0
ISBN:
9783030422660
Algorithms for computational biology = 7th International Conference, AlCoB 2020, Missoula, MT, USA, April 13-15, 2020 : proceedings /
Algorithms for computational biology
7th International Conference, AlCoB 2020, Missoula, MT, USA, April 13-15, 2020 : proceedings /[electronic resource] :AICoB 2020edited by Carlos Martin-Vide, Miguel A. Vega-Rodriguez, Travis Wheeler. - Cham :Springer International Publishing :2020. - xviii, 199 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,120990302-9743 ;. - Lecture notes in computer science ;12099..
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 Prediction of 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.
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.
ISBN: 9783030422660
Standard No.: 10.1007/978-3-030-42266-0doiSubjects--Topical Terms:
731254
Bioinformatics
--Congresses.
LC Class. No.: QH324.2 / .A53 2020
Dewey Class. No.: 570.285
Algorithms for computational biology = 7th International Conference, AlCoB 2020, Missoula, MT, USA, April 13-15, 2020 : proceedings /
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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 Prediction of 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.
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EB QH324.2 .A53 2020
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