Intl. Conf. on Research in Computational Molecular Biology, RECOMB 2017


Title/Authors Title Research Artifacts
[?] A research artifact is any by-product of a research project that is not directly included in the published research paper. In Computer Science research this is often source code and data sets, but it could also be media, documentation, inputs to proof assistants, shell-scripts to run experiments, etc.
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Determining the Consistency of Resolved Triplets and Fan Triplets

Jesper Jansson, Andrzej Lingas, Ramesh Rajaby, Wing-Kin Sung

Determining the Consistency of Resolved Triplets and Fan Triplets

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Superbubbles, Ultrabubbles and Cacti

Benedict Paten, Adam M. Novak, Erik Garrison, Glenn Hickey

Superbubbles, Ultrabubbles and Cacti

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A Flow Procedure for the Linearization of Genome Sequence Graphs

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

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Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model

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

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A Concurrent Subtractive Assembly Approach for Identification of Disease Associated Sub-metagenomes

Wontack Han, Mingjie Wang, Yuzhen Ye

A Concurrent Subtractive Assembly Approach for Identification of Disease Associated Sub-metagenomes

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Boosting Alignment Accuracy by Adaptive Local Realignment

Dan F. DeBlasio, John D. Kececioglu

Boosting Alignment Accuracy by Adaptive Local Realignment

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Author Comments: This software needs a secondary structure prediction tool such as PSIPRED, the run scripts are provided in the download package on the tools website. The data used in all publications is available via links on the website as well.
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aBayesQR: A Bayesian Method for Reconstruction of Viral Populations Characterized by Low Diversity

Soyeon Ahn, Haris Vikalo

aBayesQR: A Bayesian Method for Reconstruction of Viral Populations Characterized by Low Diversity

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AllSome Sequence Bloom Trees

Chen Sun, Robert S. Harris, Rayan Chikhi, Paul Medvedev

AllSome Sequence Bloom Trees

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Dynamic Alignment-Free and Reference-Free Read Compression

Guillaume Holley, Roland Wittler, Jens Stoye, Faraz Hach

Dynamic Alignment-Free and Reference-Free Read Compression

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Improved Search of Large Transcriptomic Sequencing Databases Using Split Sequence Bloom Trees

Brad Solomon, Carl Kingsford

Improved Search of Large Transcriptomic Sequencing Databases Using Split Sequence Bloom Trees

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Resolving Multicopy Duplications de novo Using Polyploid Phasing

Mark Chaisson, Sudipto Mukherjee, Sreeram Kannan, Evan E. Eichler

Resolving Multicopy Duplications de novo Using Polyploid Phasing

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Improving Imputation Accuracy by Inferring Causal Variants in Genetic Studies

Yue Wu, Farhad Hormozdiari, Jong Wha J. Joo, Eleazar Eskin

Improving Imputation Accuracy by Inferring Causal Variants in Genetic Studies

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A Bayesian Active Learning Experimental Design for Inferring Signaling Networks

Robert Osazuwa Ness, Karen Sachs, Parag Mallick, Olga Vitek

A Bayesian Active Learning Experimental Design for Inferring Signaling Networks

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BBK* (Branch and Bound over K*): A Provable and Efficient Ensemble-Based Algorithm to Optimize Stability and Binding Affinity over Large Sequence Spaces

Adegoke 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

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Towards Recovering Allele-Specific Cancer Genome Graphs

Ashok Rajaraman, Jian Ma

Towards Recovering Allele-Specific Cancer Genome Graphs

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The Copy-Number Tree Mixture Deconvolution Problem and Applications to Multi-sample Bulk Sequencing Tumor Data

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

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Using Stochastic Approximation Techniques to Efficiently Construct Confidence Intervals for Heritability

Regev Schweiger, Eyal Fisher, Elior Rahmani, Liat Shenhav, Saharon Rosset, Eran Halperin

Using Stochastic Approximation Techniques to Efficiently Construct Confidence Intervals for Heritability

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EPR-Dictionaries: A Practical and Fast Data Structure for Constant Time Searches in Unidirectional and Bidirectional FM Indices

Christopher Pockrandt, Marcel Ehrhardt, Knut Reinert

EPR-Dictionaries: A Practical and Fast Data Structure for Constant Time Searches in Unidirectional and Bidirectional FM Indices

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A Bayesian Framework for Estimating Cell Type Composition from DNA Methylation Without the Need for Methylation Reference

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

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Quantifying the Impact of Non-coding Variants on Transcription Factor-DNA Binding

Jingkang Zhao, Dongshunyi Li, Jungkyun Seo, Andrew S. Allen, Raluca Gordân

Quantifying the Impact of Non-coding Variants on Transcription Factor-DNA Binding

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A Fast Approximate Algorithm for Mapping Long Reads to Large Reference Databases

Chirag Jain, Alexander T. Dilthey, Sergey Koren, Srinivas Aluru, Adam M. Phillippy

A Fast Approximate Algorithm for Mapping Long Reads to Large Reference Databases

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Author Comments: Software is hosted on Github for public use. Datasets used in the publication are also publicly available, with links cited within text.
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Progressive Calibration and Averaging for Tandem Mass Spectrometry Statistical Confidence Estimation: Why Settle for a Single Decoy?

Uri Keich, William Stafford Noble

Progressive Calibration and Averaging for Tandem Mass Spectrometry Statistical Confidence Estimation: Why Settle for a Single Decoy?

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