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26th RECOMB 2022: San Diego, CA, USA
- Itsik Pe'er
:
Research in Computational Molecular Biology - 26th Annual International Conference, RECOMB 2022, San Diego, CA, USA, May 22-25, 2022, Proceedings. Lecture Notes in Computer Science 13278, Springer 2022, ISBN 978-3-031-04748-0
Extended Abstracts
- Pinar Demetci
Unsupervised Integration of Single-Cell Multi-omics Datasets with Disproportionate Cell-Type Representation. 3-19 - Ran Zhang
Semi-supervised Single-Cell Cross-modality Translation Using Polarbear. 20-35 - Jingkang Zhao, Vincentius Martin, Raluca Gordân:
Transcription Factor-Centric Approach to Identify Non-recurring Putative Regulatory Drivers in Cancer. 36-51 - Minh Hoang
DeepMinimizer: A Differentiable Framework for Optimizing Sequence-Specific Minimizer Schemes. 52-69 - Vijini Mallawaarachchi
MetaCoAG: Binning Metagenomic Contigs via Composition, Coverage and Assembly Graphs. 70-85 - Agniva Chowdhury, Aritra Bose
A Fast, Provably Accurate Approximation Algorithm for Sparse Principal Component Analysis Reveals Human Genetic Variation Across the World. 86-106 - Haohan Wang, Oscar L. Lopez, Wei Wu, Eric P. Xing:
Gene Set Priorization Guided by Regulatory Networks with p-values through Kernel Mixed Model. 107-125 - Seyran Saeedi, Myrna G. Serrano, Dennis G. Yang, J. Paul Brooks, Gregory A. Buck, Tomasz Arodz:
Real-Valued Group Testing for Quantitative Molecular Assays. 126-142 - Max Hill
On the Effect of Intralocus Recombination on Triplet-Based Species Tree Estimation. 143-158 - Sazan Mahbub
QT-GILD: Quartet Based Gene Tree Imputation Using Deep Learning Improves Phylogenomic Analyses Despite Missing Data. 159-176 - Shahbaz Khan
Safety and Completeness in Flow Decompositions for RNA Assembly. 177-192 - Uthsav Chitra, Tae Yoon Park, Benjamin J. Raphael:
NetMix2: Unifying Network Propagation and Altered Subnetworks. 193-208 - Alireza Ganjdanesh, Jipeng Zhang, Wei Chen, Heng Huang:
Multi-modal Genotype and Phenotype Mutual Learning to Enhance Single-Modal Input Based Longitudinal Outcome Prediction. 209-229 - Fernando H. C. Dias
Fast, Flexible, and Exact Minimum Flow Decompositions via ILP. 230-245 - Chirag Jain, Daniel Gibney, Sharma V. Thankachan:
Co-linear Chaining with Overlaps and Gap Costs. 246-262 - Daniel Gibney, Sharma V. Thankachan, Srinivas Aluru:
The Complexity of Approximate Pattern Matching on de Bruijn Graphs. 263-278 - Hanwen Xu, Sheng Wang:
ProTranslator: Zero-Shot Protein Function Prediction Using Textual Description. 279-294
Short Papers
- Chen Li, Maria Virgilio, Kathleen L. Collins, Joshua D. Welch:
Single-Cell Multi-omic Velocity Infers Dynamic and Decoupled Gene Regulation. 297-299 - Ruochi Zhang, Tianming Zhou, Jian Ma:
Ultrafast and Interpretable Single-Cell 3D Genome Analysis with Fast-Higashi. 300-301 - Dunming Hua, Ming Gu, Yanyi Du, Li Qi, Xiangjun Du, Zhidong Bai, Xiaopeng Zhu, Dechao Tian:
DiffDomain Enables Identification of Structurally Reorganized Topologically Associating Domains. 302-303 - Xiang Ge Luo, Jack Kuipers, Niko Beerenwinkel:
Joint Inference of Repeated Evolutionary Trajectories and Patterns of Clonal Exclusivity or Co-occurrence from Tumor Mutation Trees. 304-305 - Pesho Ivanov, Benjamin Bichsel, Martin T. Vechev:
Fast and Optimal Sequence-to-Graph Alignment Guided by Seeds. 306-325 - Pengfei Zhang, Zhengyuan Jiang, Yixuan Wang, Yu Li:
CLMB: Deep Contrastive Learning for Robust Metagenomic Binning. 326-348 - Dongshunyi Li, Jun Ding, Ziv Bar-Joseph:
Unsupervised Cell Functional Annotation for Single-Cell RNA-Seq. 349-352 - Kun Qian, Shiwei Fu, Hongwei Li, Wei Vivian Li
A Novel Matrix Factorization Model for Interpreting Single-Cell Gene Expression from Biologically Heterogeneous Data. 353-355 - Meihua Dang, Anji Liu, Xinzhu Wei, Sriram Sankararaman, Guy Van den Broeck:
Tractable and Expressive Generative Models of Genetic Variation Data. 356-357 - Yang Yang, Yuchuan Wang, Yang Zhang, Jian Ma:
Concert: Genome-Wide Prediction of Sequence Elements That Modulate DNA Replication Timing. 358-359 - Chuanyi Zhang
CORSID Enables de novo Identification of Transcription Regulatory Sequences and Genes in Coronaviruses. 360-362 - Joshua L. Wetzel, Kaiqian Zhang, Mona Singh:
Learning Probabilistic Protein-DNA Recognition Codes from DNA-Binding Specificities Using Structural Mappings. 363-365 - Eleonora Rachtman, Shahab Sarmashghi, Vineet Bafna, Siavash Mirarab:
Uncertainty Quantification Using Subsampling for Assembly-Free Estimates of Genomic Distance and Phylogenetic Relationships. 366-368 - Pavel Skums, Fatemeh Mohebbi, Vyacheslav Tsyvina, Pelin Icer, Sumathi Ramachandran, Yury Khudyakov:
SOPHIE: Viral Outbreak Investigation and Transmission History Reconstruction in a Joint Phylogenetic and Network Theory Framework. 369-370 - Elior Rahmani, Michael I. Jordan, Nir Yosef:
Identifying Systematic Variation at the Single-Cell Level by Leveraging Low-Resolution Population-Level Data. 371 - Cong Ma, Uthsav Chitra
Belayer: Modeling Discrete and Continuous Spatial Variation in Gene Expression from Spatially Resolved Transcriptomics. 372-373 - Mikhail Karasikov
Lossless Indexing with Counting de Bruijn Graphs. 374-376 - Amatur Rahman, Paul Medvedev:
Uncovering Hidden Assembly Artifacts: When Unitigs are not Safe and Bidirected Graphs are not Helpful (ABSTRACT). 377-379 - Pedro F. Ferreira, Jack Kuipers, Niko Beerenwinkel:
Mapping Single-Cell Transcriptomes to Copy Number Evolutionary Trees. 380-381 - Michael Ford, Ananth Hari, Oscar Rodriguez, Junyan Xu, Justin Lack, Cihan Oguz, Yu Zhang, Sarah Weber, Mary Magliocco, Jason Barnett, Sandhya Xirasagar, Smilee Samuel, Luisa Imberti
ImmunoTyper-SR: A Novel Computational Approach for Genotyping Immunoglobulin Heavy Chain Variable Genes Using Short Read Data. 382-384 - Ulzee An, Na Cai, Andy Dahl, Sriram Sankararaman:
AutoComplete: Deep Learning-Based Phenotype Imputation for Large-Scale Biomedical Data. 385-386 - Nathan Guerin, Teresa Kaserer, Bruce Randall Donald:
Resistor: An Algorithm for Predicting Resistance Mutations Using Pareto Optimization over Multistate Protein Design and Mutational Signatures. 387-389 - Zheng Dai
Ultra High Diversity Factorizable Libraries for Efficient Therapeutic Discovery. 390-392
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