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• Computing the rearrangement distance of natural genomes / Leonard Bohnenkämper, Marília D. V. Braga, Daniel Doerr, Jens Stoye
• Deep large-scale multi-task learning network for gene expression inference / Kamran Ghasedi Dizaji, Wei Chen, Heng Huang
• A randomized parallel algorithm for efficiently finding near-optimal universal hitting sets / Barış Ekim, Bonnie Berger, Yaron Orenstein
• Multiple competition-based FDR control and its application to peptide detection / Kristen Emery, Syamand Hasam, William Stafford Noble, Uri Keich
• Supervised adversarial alignment of single-cell RNA-seq data / Songwei Ge, Haohan Wang, Amir Alavi, Eric Xing, Ziv Bar-Joseph
• Bagging MSA learning : enhancing low-quality PSSM with deep learning for accurate rotein structure property prediction / Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang
• AStarix : fast and optimal sequence-to-graph alignment / Pesho Ivanov, Benjamin Bichsel, Harun Mustafa, André Kahles, Gunnar Rätsch, Martin Vechev
• Polynomial-time statistical estimation of species trees under gene duplication and loss / Brandon Legried, Erin K. Molloy, Tandy Warnow, Sébastien Roch
• RoboCOP : multivariate state space model integrating epigenomic accessibility data to elucidate genome-wide chromatin occupancy / Sneha Mitra, Jianling Zhong, David M. MacAlpine, Alexander J. Hartemink
• Representation of k-mer sets using spectrum-preserving string sets / Amatur Rahman, Paul Medvedev
• NetMix : a network-structured mixture model for reduced-bias estimation of altered subnetworks / Matthew A. Reyna, Uthsav Chitra, Rebecca Elyanow, Benjamin J. Raphael
• Stochastic sampling of structural contexts improves the scalability and accuracy of RNA 3D module identification / Roman Sarrazin-Gendron, Hua-Ting Yao, Vladimir Reinharz, Carlos G. Oliver, Yann Ponty, Jérôme Waldispühl

• Lower density selection schemes via small universal hitting sets with short remaining path length / Hongyu Zheng, Carl Kingsford, Guillaume Marçais
• Strain-aware assembly of genomes from mixed samples using flow variation graphs / Jasmijn A. Baaijens, Leen Stougie, Alexander Schönhuth
• Spectral Jaccard similarity : a new approach to estimating pairwise sequence alignments / Tavor Z. Baharav, Govinda M. Kamath, David N. Tse, Ilan Shomorony
• MosaicFlye : resolving long mosaic repeats using long reads / Anton Bankevich, Pavel Pevzner
• Bayesian non-parametric clustering of single-cell mutation profiles / Nico Borgsmüller, Jose Bonet, Francesco Marass, Abel Gonzalez-Perez, Nuria Lopez-Bigas, Niko Beerenwinkel
• PaccMannRL : designing anticancer drugs from transcriptomic data via reinforcement learning / Jannis Born, Matteo Manica, Ali Oskooei, Joris Cadow, María Rodríguez Martínez
• CluStrat : a structure informed clustering strategy for population stratification / Aritra Bose, Myson C. Burch, Agniva Chowdhury, Peristera Paschou, Petros Drineas
• PWAS : proteome-wide association study / Nadav Brandes, Nathan Linial, Michal Linial
• Estimating the rate of cell type degeneration from epigenetic sequencing of cell-free DNA / Christa Caggiano, Barbara Celona, Fleur Garton, Joel Mefford, Brian Black, Catherine Lomen-Hoerth et al.
• Potpourri : an epistasis test prioritization algorithm via diverse SNP selection / Gizem Caylak, A. Ercument Cicek
• Privacy-preserving biomedical database queries with optimal privacy-utility trade-offs / Hyunghoon Cho, Sean Simmons, Ryan Kim, Bonnie Berger
• Iterative refinement of cellular identity from single-cell data using online learning / Chao Gao, Joshua D. Welch
• A guided network propagation approach to identify disease genes that combines prior and new information / Borislav H. Hristov, Bernard Chazelle, Mona Singh

• A scalable method for estimating the regional polygenicity of complex traits / Ruth Johnson, Kathryn S. Burch, Kangcheng Hou, Mario Paciuc, Bogdan Pasaniuc, Sriram Sankararaman
• Efficient and accurate inference of microbial trajectories from longitudinal count data / Tyler A. Joseph, Amey P. Pasarkar, Itsik Pe'er
• Identifying causal variants by fine mapping across multiple studies / Nathan LaPierre, Kodi Taraszka, Helen Huang, Rosemary He, Farhad Hormozdiari, Eleazar Eskin
• MONN : a multi-objective neural network for predicting pairwise non-covalent interactions and binding affinities between compounds and proteins / Shuya Li, Fangping Wan, Hantao Shu, Tao Jiang, Dan Zhao, Jianyang Zeng
• Evolutionary context-integrated deep sequence modeling for protein engineering / Yunan Luo, Lam Vo, Hantian Ding, Yufeng Su, Yang Liu, Wesley Wei Qian et al.
• Log transformation improves dating of phylogenies / Uyen Mai, Siavash Mirarab
• Reconstructing genotypes in private genomic databases from genetic risk scores / Brooks Paige, James Bell, Aurélien Bellet, Adrià Gascón, Daphne Ezer
• d-PBWT : dynamic positional Burrows-Wheeler transform / Ahsan Sanaullah, Degui Zhi, Shaojie Zhang
• A mixture model for signature discovery from sparse mutation data / Itay Sason, Yuexi Chen, Mark D. M. Leiserson, Roded Sharan
• Single-cell tumor phylogeny inference with copy-number constrained mutation losses / Gryte Satas, Simone Zaccaria, Geoffrey Mon, Benjamin J. Raphael
• Reconstruction of gene regulatory networks by integrating biological mode and a recommendation system / Yijie Wang, Justin M. Fear, Isabelle Berger, Hangnoh Lee, Brian Oliver, Teresa M. Przytycka
• Probing multi-way chromatin interaction with hypergraph representation learning / Ruochi Zhang, Jian Ma.

This book constitutes the proceedings of the 24th Annual Conference on Research in Computational Molecular Biology, RECOMB 2020, held in Padua, Italy, in May 2020. The 13 regular and 24 short papers presented were carefully reviewed and selected from 206 submissions. The papers report on original research in all areas of computational molecular biology and bioinformatics.