05047nam 22007575 450 991033783730332120200704001909.03-030-18174-X10.1007/978-3-030-18174-1(CKB)4100000008217374(DE-He213)978-3-030-18174-1(MiAaPQ)EBC5923815(PPN)236521942(EXLCZ)99410000000821737420190412d2019 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierAlgorithms for Computational Biology 6th International Conference, AlCoB 2019, Berkeley, CA, USA, May 28–30, 2019, Proceedings /edited by Ian Holmes, Carlos Martín-Vide, Miguel A. Vega-Rodríguez1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (XVI, 225 p. 66 illus., 35 illus. in color.) Lecture Notes in Bioinformatics ;114883-030-18173-1 Includes bibliographical references and index.Invited 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.This 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.Lecture Notes in Bioinformatics ;11488BioinformaticsArithmetic and logic units, ComputerAlgorithmsArtificial intelligenceNumerical analysisComputer science—MathematicsComputational Biology/Bioinformaticshttps://scigraph.springernature.com/ontologies/product-market-codes/I23050Arithmetic and Logic Structureshttps://scigraph.springernature.com/ontologies/product-market-codes/I12026Algorithm Analysis and Problem Complexityhttps://scigraph.springernature.com/ontologies/product-market-codes/I16021Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Numeric Computinghttps://scigraph.springernature.com/ontologies/product-market-codes/I1701XDiscrete Mathematics in Computer Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/I17028Bioinformatics.Arithmetic and logic units, Computer.Algorithms.Artificial intelligence.Numerical analysis.Computer science—Mathematics.Computational Biology/Bioinformatics.Arithmetic and Logic Structures.Algorithm Analysis and Problem Complexity.Artificial Intelligence.Numeric Computing.Discrete Mathematics in Computer Science.570.285570.285Holmes Ianedthttp://id.loc.gov/vocabulary/relators/edtMartín-Vide Carlosedthttp://id.loc.gov/vocabulary/relators/edtVega-Rodríguez Miguel Aedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910337837303321Algorithms for Computational Biology2077899UNINA