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ORCID21st RECOMB 2017: Hong Kong
- Süleyman Cenk Sahinalp:
Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Hong Kong, China, May 3-7, 2017, Proceedings. Lecture Notes in Computer Science 10229, 2017, ISBN 978-3-319-56969-7 - Dan F. DeBlasio, John D. Kececioglu:
Boosting Alignment Accuracy by Adaptive Local Realignment. 1-17 - Wontack Han, Mingjie Wang, Yuzhen Ye:
A Concurrent Subtractive Assembly Approach for Identification of Disease Associated Sub-metagenomes. 18-33 - David Haussler, Maciej Smuga-Otto, Benedict Paten, Adam M. Novak
, Sergei Nikitin, Maria Zueva, Dmitrii Miagkov:
A Flow Procedure for the Linearization of Genome Sequence Graphs. 34-49 - Guillaume Holley, Roland Wittler, Jens Stoye, Faraz Hach:
Dynamic Alignment-Free and Reference-Free Read Compression. 50-65 - Chirag Jain, Alexander T. Dilthey, Sergey Koren, Srinivas Aluru, Adam M. Phillippy:
A Fast Approximate Algorithm for Mapping Long Reads to Large Reference Databases. 66-81 - Jesper Jansson, Andrzej Lingas, Ramesh Rajaby, Wing-Kin Sung:
Determining the Consistency of Resolved Triplets and Fan Triplets. 82-98 - Uri Keich, William Stafford Noble:
Progressive Calibration and Averaging for Tandem Mass Spectrometry Statistical Confidence Estimation: Why Settle for a Single Decoy? 99-116 - Mark J. P. Chaisson, Sudipto Mukherjee, Sreeram Kannan, Evan E. Eichler:
Resolving Multicopy Duplications de novo Using Polyploid Phasing. 117-133 - Robert Osazuwa Ness, Karen Sachs, Parag Mallick, Olga Vitek:
A Bayesian Active Learning Experimental Design for Inferring Signaling Networks. 134-156 - Adegoke A. Ojewole, Jonathan D. Jou, Vance G. Fowler, Bruce Randall Donald:
BBK* (Branch and Bound over K*): A Provable and Efficient Ensemble-Based Algorithm to Optimize Stability and Binding Affinity over Large Sequence Spaces. 157-172 - Benedict Paten, Adam M. Novak, Erik Garrison, Glenn Hickey:
Superbubbles, Ultrabubbles and Cacti. 173-189 - Christopher Pockrandt, Marcel Ehrhardt, Knut Reinert:
EPR-Dictionaries: A Practical and Fast Data Structure for Constant Time Searches in Unidirectional and Bidirectional FM Indices. 190-206 - Elior Rahmani, Regev Schweiger, Liat Shenhav, Eleazar Eskin, Eran Halperin:
A Bayesian Framework for Estimating Cell Type Composition from DNA Methylation Without the Need for Methylation Reference. 207-223 - Ashok Rajaraman, Jian Ma:
Towards Recovering Allele-Specific Cancer Genome Graphs. 224-240 - Regev Schweiger, Eyal Fisher, Elior Rahmani, Liat Shenhav, Saharon Rosset, Eran Halperin:
Using Stochastic Approximation Techniques to Efficiently Construct Confidence Intervals for Heritability. 241-256 - Brad Solomon, Carl Kingsford:
Improved Search of Large Transcriptomic Sequencing Databases Using Split Sequence Bloom Trees. 257-271 - Chen Sun, Robert S. Harris, Rayan Chikhi, Paul Medvedev:
AllSome Sequence Bloom Trees. 272-286 - Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang:
Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model. 287-302 - Yue Wu, Farhad Hormozdiari, Jong Wha J. Joo, Eleazar Eskin:
Improving Imputation Accuracy by Inferring Causal Variants in Genetic Studies. 303-317 - Simone Zaccaria, Mohammed El-Kebir, Gunnar W. Klau, Benjamin J. Raphael:
The Copy-Number Tree Mixture Deconvolution Problem and Applications to Multi-sample Bulk Sequencing Tumor Data. 318-335 - Jingkang Zhao, Dongshunyi Li, Jungkyun Seo, Andrew S. Allen, Raluca Gordân:
Quantifying the Impact of Non-coding Variants on Transcription Factor-DNA Binding. 336-352 - Soyeon Ahn, Haris Vikalo:
aBayesQR: A Bayesian Method for Reconstruction of Viral Populations Characterized by Low Diversity. 353-369
Short Papers
- Phuong Dao, Yoo-Ah Kim, Sanna Madan, Roded Sharan, Teresa M. Przytycka:
BeWith: A Between-Within Method for Module Discovery in Cancer using Integrated Analysis of Mutual Exclusivity, Co-occurrence and Functional Interactions (Extended Abstract). 370-371 - Yuchun Guo, Kevin Tian, Haoyang Zeng, David K. Gifford:
K-mer Set Memory (KSM) Motif Representation Enables Accurate Prediction of the Impact of Regulatory Variants. 372-374 - Borislav H. Hristov, Mona Singh:
Network-Based Coverage of Mutational Profiles Reveals Cancer Genes. 375-376 - Linh Huynh, Fereydoun Hormozdiari:
Ultra-Accurate Complex Disorder Prediction: Case Study of Neurodevelopmental Disorders. 377-378 - Michael K. K. Leung, Andrew Delong, Brendan J. Frey:
Inference of the Human Polyadenylation Code. 379 - Zhen Li, Sheng Wang, Yizhou Yu, Jinbo Xu:
Folding Membrane Proteins by Deep Transfer Learning. 380-382 - Yunan Luo, Xinbin Zhao, Jingtian Zhou, Jinling Yang, Yanqing Zhang, Wenhua Kuang, Jian Peng, Ligong Chen, Jianyang Zeng:
A Network Integration Approach for Drug-Target Interaction Prediction and Computational Drug Repositioning from Heterogeneous Information. 383-384 - Dariusz Matlak, Ewa Szczurek:
Epistasis in Genomic and Survival Data of Cancer Patients. 385-386 - Ardalan Naseri, Xiaoming Liu, Shaojie Zhang, Degui Zhi:
Ultra-Fast Identity by Descent Detection in Biobank-Scale Cohorts Using Positional Burrows-Wheeler Transform. 387-388 - Yaron Orenstein, Ryan Kim, Polly Fordyce, Bonnie Berger:
Joker de Bruijn: Sequence Libraries to Cover All k-mers Using Joker Characters. 389-390 - Victoria Popic, Volodymyr Kuleshov, Michael P. Snyder, Serafim Batzoglou:
GATTACA: Lightweight Metagenomic Binning Using Kmer Counting. 391-392 - Shubhanshu Shekhar, Sebastien Roch, Siavash Mirarab:
Species Tree Estimation Using ASTRAL: How Many Genes Are Enough? 393-395 - Alexander Shlemov, Sergey Bankevich, Andrey V. Bzikadze, Yana Safonova, Pavel A. Pevzner:
Reconstructing Antibody Repertoires from Error-Prone Immunosequencing Datasets. 396-397 - Yijie Wang, Dong-Yeon Cho, Hangnoh Lee, Brian Oliver, Teresa M. Przytycka:
NetREX: Network Rewiring Using EXpression - Towards Context Specific Regulatory Networks. 398-399 - Joshua D. Welch, Alexander J. Hartemink, Jan F. Prins:
E Pluribus Unum: United States of Single Cells. 400-401 - Sai Zhang, Hailin Hu, Jingtian Zhou, Xuan He, Tao Jiang, Jianyang Zeng:
ROSE: A Deep Learning Based Framework for Predicting Ribosome Stalling. 402-403
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