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Algorithms for Computational Biology : 8th International Conference, AlCoB 2021, Missoula, MT, USA, June 7-11, 2021, Proceedings / edited by Carlos Martín-Vide, Miguel A. Vega-Rodríguez, Travis Wheeler.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Martín Vide, Carlos, Editor.
Vega-Rodríguez, Miguel A., Editor.
Wheeler, Travis, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science. Lecture notes in bioinformatics 2366-6331 ; 12715
Lecture Notes in Bioinformatics, 2366-6331 ; 12715
Language:
English
Subjects (All):
Data structures (Computer science).
Information theory.
Artificial intelligence.
Image processing-Digital techniques.
Computer vision.
Computer science-Mathematics.
Mathematical statistics.
Discrete mathematics.
Numerical analysis.
Data Structures and Information Theory.
Artificial Intelligence.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Probability and Statistics in Computer Science.
Discrete Mathematics in Computer Science.
Numerical Analysis.
Local Subjects:
Data Structures and Information Theory.
Artificial Intelligence.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Probability and Statistics in Computer Science.
Discrete Mathematics in Computer Science.
Numerical Analysis.
Physical Description:
1 online resource (X, 173 pages) : 50 illustrations, 29 illustrations in color.
Edition:
1st ed. 2021.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2021.
System Details:
text file PDF
Summary:
This book constitutes the proceedings of the 8th International Conference on Algorithms for Computational Biology, AlCoB 2020, was planned to be held in Missoula, MT, USA in June 2021. Due to the Covid-19 pandemic, AlCoB 2020 and AlCoB 2021 were merged and held on these dates together. AlCoB 2020 proceedings were published as LNBI 12099. The 12 full papers included in this volume were carefully reviewed and selected from 22 submissions. They were organized in topical sections on genomics, phylogenetics, and RNA-Seq and other biological processes. The scope of AlCoB includes topics of either theoretical or applied interest, namely: sequence analysis; sequence alignment; sequence assembly; genome rearrangement; regulatory motif finding; phylogeny reconstruction; phylogeny comparison; structure prediction; compressive genomics; proteomics: molecular pathways, interaction networks, mass spectrometry analysis; transcriptomics: splicing variants, isoform inference and quantification, differential analysis; next-generation sequencing: population genomics, metagenomics, metatranscriptomics, epigenomics; genome CD architecture; microbiome analysis; cancer computational biology; and systems biology.
Contents:
Learning Molecular Classes from Small Numbers of Positive Examples Using Graph Grammars
Can We Replace Reads by Numeric Signatures? Lyndon Fingerprints as Representations of Sequencing Reads for Machine Learning
Exploiting Variable Sparsity in Computing Equilibria of Biological Dynamical Systems by Triangular Decomposition
A Recovery Algorithm and Pooling Designs for One-Stage Noisy Group Testing Under the Probabilistic Framework
Novel Phylogenetic Network Distances Based on Cherry Picking
Best Match Graphs with Binary Trees
Scalable and Accurate Phylogenetic Placement Using pplacer-XR
Comparing Methods for Species Tree Estimation with Gene Duplication and Loss
Reversal Distance on Genomes with Different Gene Content and Intergenic Regions Information
Reversals Distance Considering Flexible Intergenic Regions Sizes
Improved DNA-versus-Protein Homology Search for Protein Fossils
The Maximum Weight Trace Alignment Merging Problem.
Other Format:
Printed edition:
ISBN:
978-3-030-74432-8
9783030744328
Access Restriction:
Restricted for use by site license.

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