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020 _a9783030744328
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024 7 _a10.1007/978-3-030-74432-8
_2doi
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050 4 _aQ350-390
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245 1 0 _aAlgorithms for Computational Biology
_h[electronic resource] :
_b8th International Conference, AlCoB 2021, Missoula, MT, USA, June 7-11, 2021, Proceedings /
_cedited by Carlos Martín-Vide, Miguel A. Vega-Rodríguez, Travis Wheeler.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aX, 173 p. 50 illus., 29 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
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347 _atext file
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490 1 _aLecture Notes in Bioinformatics,
_x2366-6331 ;
_v12715
505 0 _aLearning 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.
520 _aThis 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.
650 0 _aData structures (Computer science).
_98188
650 0 _aInformation theory.
_914256
650 0 _aArtificial intelligence.
_93407
650 0 _aImage processing
_xDigital techniques.
_94145
650 0 _aComputer vision.
_9118515
650 0 _aComputer science
_xMathematics.
_93866
650 0 _aMathematical statistics.
_99597
650 0 _aDiscrete mathematics.
_912873
650 0 _aNumerical analysis.
_94603
650 1 4 _aData Structures and Information Theory.
_931923
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
_931569
650 2 4 _aProbability and Statistics in Computer Science.
_931857
650 2 4 _aDiscrete Mathematics in Computer Science.
_931837
650 2 4 _aNumerical Analysis.
_94603
700 1 _aMartín-Vide, Carlos.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9118516
700 1 _aVega-Rodríguez, Miguel A.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9118517
700 1 _aWheeler, Travis.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9118518
710 2 _aSpringerLink (Online service)
_9118519
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030744311
776 0 8 _iPrinted edition:
_z9783030744335
830 0 _aLecture Notes in Bioinformatics,
_x2366-6331 ;
_v12715
_9118520
856 4 0 _uhttps://doi.org/10.1007/978-3-030-74432-8
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