LEADER 06308nam 22006855 450 001 996466309303316 005 20200703134103.0 010 $a3-030-17083-7 024 7 $a10.1007/978-3-030-17083-7 035 $a(CKB)4100000007938142 035 $a(DE-He213)978-3-030-17083-7 035 $a(MiAaPQ)EBC5923858 035 $a(PPN)235668419 035 $a(EXLCZ)994100000007938142 100 $a20190401d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aResearch in Computational Molecular Biology$b[electronic resource] $e23rd Annual International Conference, RECOMB 2019, Washington, DC, USA, May 5-8, 2019, Proceedings /$fedited by Lenore J. Cowen 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XIV, 337 p. 146 illus., 67 illus. in color.) 225 1 $aLecture Notes in Bioinformatics ;$v11467 300 $aDescription based on print version record. 311 $a3-030-17082-9 320 $aIncludes bibliographical references and index. 327 $aAn Efficient, Scalable and Exact Representation of High-Dimensional Color Information Enabled Via de Bruijn Graph Search -- Identifying Clinical Terms in Free-Text Notes Using Ontology-Guided Machine Learning -- ModHMM: A Modular Supra-Bayesian Genome Segmentation Method -- Learning Robust Multi-Label Sample Specific Distances for Identifying HIV-1 Drug Resistance -- MethCP: Differentially Methylated Region Detection with Change Point Models -- On the Complexity of Sequence to Graph Alignment -- Minimization-Aware Recursive K* (MARK*): A Novel, Provable Algorithm that Accelerates Ensemble-based Protein Design and Provably Approximates the Energy Landscape -- Sparse Binary Relation Representations for Genome Graph Annotation -- How Many Subpopulations is Too Many? Exponential Lower Bounds for Inferring Population Histories -- Efficient Construction of a Complete Index for Pan-Genomics Read Alignment -- Tumor Copy Number Deconvolution Integrating Bulk and Single-Cell Sequencing Data -- OMGS: Optical Map-based Genome Scaffolding -- Fast Approximation of Frequent k-mers and Applications to Metagenomics -- De Novo Clustering of Long-Read Transcriptome Data Using a Greedy, Quality-Value Based Algorithm -- A Sticky Multinomial Mixture Model of Strand-Coordinated Mutational Processes in Cancer -- Disentangled Representations of Cellular Identity -- RENET: A Deep Learning Approach for Extracting Gene-Disease Associations from Literature -- APPLES: Fast Distance Based Phylogenetic Placement -- De Novo Peptide Sequencing Reveals a Vast Cyclopeptidome in Human Gut and Other environments -- Biological Sequence Modeling with Convolutional Kernel Networks -- Dynamic Pseudo-Time Warping of Complex Single-Cell Trajectories -- netNMF-sc: A Network Regularization Algorithm for Dimensionality Reduction and Imputation of Single-Cell Expression Data -- Geometric Sketching of Single-Cell Data Preserves Transcriptional Structure -- Sketching Algorithms for Genomic Data Analysis and Querying in a Secure Enclave -- Mitigating Data Scarcity in Protein Binding Prediction Using Meta-Learning -- Efficient Estimation and Applications of Cross-Validated Genetic Predictions -- Inferring Tumor Evolution from Longitudinal Samples -- Scalable Multi-Component Linear Mixed Models with Application to SNP Heritability Estimation -- A Note on Computing Interval Overlap Statistics -- Distinguishing Biological from Technical Sources of Variation by Leveraging Multiple Methylation Datasets -- GRep: Gene Set Representation via Gaussian Embedding -- Accurate Sub-Population Detection and Mapping Across Single Cell Experiments with PopCorn -- Fast Estimation of Genetic Correlation for Biobank-Scale Data -- Distance-Based Protein Folding Powered by Deep Learning -- Comparing 3D Genome Organization in Multiple Species Using Phylo-HMRF -- Towards a Post-Clustering Test for Didderential Expression -- AdaFDR: a Fast, Powerful and Covariate-Adaptive Approach for Multiple Hypothesis Testing. 330 $aThis book constitutes the proceedings of the 23rd Annual Conference on Research in Computational Molecular Biology, RECOMB 2019, held in Washington, DC, USA, in April 2019. The 17 extended and 20 short abstracts presented were carefully reviewed and selected from 175 submissions. The short abstracts are included in the back matter of the volume. The papers report on original research in all areas of computational molecular biology and bioinformatics. 410 0$aLecture Notes in Bioinformatics ;$v11467 606 $aBioinformatics 606 $aInformation storage and retrieval 606 $aArithmetic and logic units, Computer 606 $aArtificial intelligence 606 $aComputer science?Mathematics 606 $aComputational Biology/Bioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23050 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aArithmetic and Logic Structures$3https://scigraph.springernature.com/ontologies/product-market-codes/I12026 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aMathematics of Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I17001 615 0$aBioinformatics. 615 0$aInformation storage and retrieval. 615 0$aArithmetic and logic units, Computer. 615 0$aArtificial intelligence. 615 0$aComputer science?Mathematics. 615 14$aComputational Biology/Bioinformatics. 615 24$aInformation Storage and Retrieval. 615 24$aArithmetic and Logic Structures. 615 24$aArtificial Intelligence. 615 24$aMathematics of Computing. 676 $a570.285 702 $aCowen$b Lenore J$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466309303316 996 $aResearch in Computational Molecular Biology$9772065 997 $aUNISA