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Author RECOMB (Conference : 2005- ) (23rd : 2019 : Washington, D.C.)

Title Research in computational molecular biology : 23rd Annual International Conference, RECOMB 2019, Washington, DC, USA, May 5-8, 2019, Proceedings / Lenore J. Cowen (eds.)
Published Cham, Switzerland : Springer, 2019

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Description 1 online resource (xiv, 337 pages) : illustrations (some color)
Series Lecture notes in bioinformatics
Lecture notes in computer science ; 11467
LNCS sublibrary. SL 8, Bioinformatics
Lecture notes in computer science. Lecture notes in bioinformatics.
Lecture notes in computer science ; 11467.
LNCS sublibrary. SL 8, Bioinformatics.
Contents [I]. [Long papers]: 1. An efficient, scalable and exact representation of high-dimensional color information enabled via de Bruijn graph search / Fatemeh Almodaresi, Prashant Pandey, Michael Ferdman, Rob Johnson, Rob Patro -- 2. Identifying clinical terms in free-text notes using ontology-guided machine learning / Aryan Arabbi, David R. Adams, Sanja Fidler, Michael Brudno -- 3. ModHMM : a modular supra-Bayesian genome segmentation method / Philipp Benner, Martin Vingron -- 4. Learning robust multi-label sample specific distances for identifying HIV-1 drug resistance / Lodewijk Brand, Xue Yang, Kai Liu, Saad Elbeleidy, Hua Wang, Hao Zhang -- 5. MethCP : differentially methylated region detection with change point models / Boying Gong, Elizabeth Purdom -- 6. On the complexity of sequence to graph alignment / Chirag Jain, Haowen Zhang, Yu Gao, Srinivas Aluru -- 7. Minimization-aware recursive K* (MARK*) : a novel, provable algorithm that accelerates ensemble-based protein design and provably approximates the energy landscape / Jonathan D. Jou, Graham T. Holt, Anna U. Lowegard, Bruce R. Donald -- 8. Sparse binary relation representations for genome graph annotation / Mikhail Karasikov, Harun Mustafa, Amir Joudaki, Sara Javadzadeh-No, Gunnar Rätsch, André Kahles -- 9. How many subpopulations is too many? Exponential lower bounds for inferring population histories / Younhun Kim, Frederic Koehler, Ankur Moitra, Elchanan Mossel, Govind Ramnarayan -- 10. Efficient construction of a complete index for pan-genomics read alignment / Alan Kuhnle, Taher Mun, Christina Boucher, Travis Gagie, Ben Langmead, Giovanni Manzini
11. Tumor copy number deconvolution integrating bulk and single-cell sequencing data / Haoyun Lei, Bochuan Lyu, E. Michael Gertz, Alejandro A. Schäffer, Xulian Shi, Kui Wu, Guibo Li, Liqin Xu, Yong Hou, Michael Dean, Russell Schwartz -- 12. OMGS : optical map-based genome scaffolding / Weihua Pan, Tao Jiang, Stefano Lonardi -- 13. Fast approximation of frequent k-mers and applications to metagenomics / Loneardo Pellegrina, Cinzia Pizzi, Fabio Vandin -- 14. De novo clustering of long-read transcriptome data using a greedy quality-value based algorithm / Kristoffer Sahlin, Paul Medvedev -- 15. A sticky multinomial mixture model of strand-coordinated mutational processes in cancer / Itay Sason, Damian Wojtowicz, Welles Robinson, Mark D.M. Leiserson, Teresa M. Przytycka, Roded Sharan -- 16. Disentangled representations of cellular identity / Ziheng Wang, Grace H.T. Yeo, Richard Sherwood, David Gifford -- 17. RENET : a deep learning approach for extracting gene-disease associations from literature / Ye Wu, Ruibang Luo, Henry C.M. Leung, Hing-Fung Ting, Tak-Wah Lam
[II]. Short papers: 18. APPLES : fast distance-based phylogenetic placement / Metin Balaban, Shahab Sarmashghi, Siavash Mirarab -- 19. De novo peptide sequencing reveals a vast cyclopeptidome in human gut and other environments / Bahar Behsaz, Hosein Mohimani, Alexey Gurevich, Andrey Prjibelski, Mark F. Fisher, Larry Smarr, Pieter C. Dorrestein, Joshua S. Mylne, Pavel A. Pevzner -- 20. Biological sequence modeling with convolutional kernel networks / Dexiong Chen, Laurent Jacob, Julien Mairal -- 21. Dynamic pseudo-time warping of complex single-cell trajectories / Van Hoan Do, Mislav Blažević, Pablo Monteagudo, Luka Borozan, Khaled Elbassioni, Sören Laue, Francisca Rojas Ringeling, Domagoj Matijević, Stefan Canzar -- 22. netNMF-sc : a network regularization algorithm for dimensionality reduction and imputation of single-cell expression data / Rebecca Elyanow, Bianca Dumitrascu, Barbara E. Engelhardt, Benjamin J. Raphael -- 23. Geometric sketching of single-cell data preserves transcriptional structure / Brian Hie, Hyunghoon Cho, Benjamin DeMeo, Bryan Bryson, Bonnie Berger -- 24. Sketching algorithms for genomic data analysis and querying in a secure enclave / Can Kockan, Kaiyuan Zhu, Natnatee Dokmai, Nikolai Karpov, M. Oguzhan Kulekci, David P. Woodruff, S. Cenk Sahinalp -- 25. Mitigating data scarcity in protein binding prediction using meta-learning / Yunan Luo, Jianzhu Ma, Xiaoming Zhao, Yufeng Su, Yang Liu, Trey Ideker, Jian Peng -- 26. Efficient estimation and applications of cross-validated genetic predictions / Joel Mefford, Danny Park, Zhili Zheng, Arthur Ko, Mika Ala-Korpela, Markku Laakso, Paivi Pajukanta, Jian Yang, John Witte, Noah Zaitlen -- 27. Inferring tumor evolution from longitudinal samples / Matthew A. Myers, Gryte Satas, Benjamin J. Raphael
28. Scalable multi-component linear mixed models with application to SNP heritability estimation / Ali Pazokitoroudi, Yue Wu, Kathryn S. Burch, Kangcheng Hou, Bogdan Pasaniuc, Sriram Sankararaman -- 29. A note on computing interval overlap statistics / Shahab Sarmashghi, Vineet Bafna -- 30. Distinguishing biological from technical sources of variation using a combination of methylation datasets / Mike Thompson, Zeyuan Johnson Chen, Elior Rahmani, Eran Halperin -- 31. GRep : gene set representations via Gaussian embedding / Sheng Wang, Emily Flynn, Russ B. Altman -- 32. Accurate sub-population detection and mapping across single cell experiments with PopCorn / Yijie Wang, Jan Hoinka, Teresa M. Przytycka -- 33. Fast estimation of genetic correlation for biobank-scale data / Yue Wu, Anna Yaschenko, Mohammadreza Hajy Heydary, Sriram Sankararaman -- 34. Distance-based protein folding powered by deep learning / Jinbo Xu -- 35. Comparing 3D genome organization in multiple species using phylo-HMRF / Yang Yang, Yang Zhang, Bing Ren, Jesse Dixon, Jian Ma -- 36. Towards a post-clustering test for differential expression / Jesse M. Zhang, Govinda M. Kamath, David N. Tse -- 37. AdaFDR : a fast, powerful and covariate-adaptive approach to multiple hypothesis testing / Martin J. Zhang, Fei Xia, James Zou
Summary This 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. -- Provided by publisher
Notes International conference proceedings
Includes author index
Bibliography Includes bibliographical references and index
Notes Online resource; title from PDF title page (SpringerLink, viewed April 22, 2019)
Subject Computational biology -- Congresses
Bioinformatics -- Congresses
Bioinformatics
Computational biology
Genre/Form proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Form Electronic book
Author Cowen, Lenore J., editor
ISBN 9783030170837
3030170837
9783030170844
3030170845
Other Titles RECOMB 2019