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020 _a9783030181741
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024 7 _a10.1007/978-3-030-18174-1
_2doi
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082 0 4 _a570.285
_223
082 0 4 _a570.113
_223
245 1 0 _aAlgorithms for Computational Biology
_h[electronic resource] :
_b6th International Conference, AlCoB 2019, Berkeley, CA, USA, May 28–30, 2019, Proceedings /
_cedited by Ian Holmes, Carlos Martín-Vide, Miguel A. Vega-Rodríguez.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXVI, 225 p. 66 illus., 35 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
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490 1 _aLecture Notes in Bioinformatics,
_x2366-6331 ;
_v11488
505 0 _aInvited Talk -- New Divide-and-Conquer Techniques for Large-Scale Phylogenetic Estimation -- Biological Networks and Graph Algorithms -- New Polynomial-Time Algorithm around the Scaffolding Problem -- Enumerating Dominant Pathways in Biological Networks by Information Flow Analysis -- Comparing Different Graphlet Measures for Evaluating Network Model Fits to BioGRID PPI Networks -- Graph-Theoretic Partitioning of RNAs and Classification of Pseudoknots -- PathRacer: Racing Profile HMM Paths on Assembly Graph -- Genome Rearrangement, Assembly and Classification -- A Uniform Theory of Adequate Subgraphs for the Genome Median, Halving, and Aliquoting Problems -- Lightweight Metagenomic Classification via eBWT -- MULKSG: MULtiple K Simultaneous Graph Assembly -- Counting Sorting Scenarios and Intermediate Genomes for the Rank Distance -- Generalizations of the Genomic Rank Distance to Indels -- Sequence Analysis, Phylogenetics and Other Biological Processes -- Using INC within Divide-and-Conquer Phylogeny Estimation -- Predicting Methylation from Sequence and Gene Expression Using Deep Learning with Attention -- A Mathematical Model for Enhancer Activation Kinetics During Cell Differentiation -- Transcript Abundance Estimation and the Laminar Packing Problem -- Efficient Algorithms for Finding Edit-Distance Based Motifs.
520 _aThis book constitutes the proceedings of the 6th InternationalConference on Algorithms for Computational Biology, AlCoB 2019, held in Berkeley, CA, USA, in May 2019. The 15 full papers presented together with 1 invited paper were carefully reviewed and selected from 30 submissions. They are organized in the following topical sections: Biological networks and graph algorithms; genome rearrangement, assembly and classification; sequence analysis, phylogenetics and other biological processes.
650 0 _aBioinformatics.
650 0 _aComputer arithmetic and logic units.
650 0 _aAlgorithms.
650 0 _aArtificial intelligence.
650 0 _aNumerical analysis.
650 0 _aComputer science
_xMathematics.
650 0 _aDiscrete mathematics.
650 1 4 _aComputational and Systems Biology.
650 2 4 _aArithmetic and Logic Structures.
650 2 4 _aAlgorithms.
650 2 4 _aArtificial Intelligence.
650 2 4 _aNumerical Analysis.
650 2 4 _aDiscrete Mathematics in Computer Science.
700 1 _aHolmes, Ian.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMartín-Vide, Carlos.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aVega-Rodríguez, Miguel A.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030181734
776 0 8 _iPrinted edition:
_z9783030181758
830 0 _aLecture Notes in Bioinformatics,
_x2366-6331 ;
_v11488
856 4 0 _uhttps://doi.org/10.1007/978-3-030-18174-1
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
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