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Genome Research|November 14, 2025
Graph-based deep reinforcement learning for haplotype assembly with RalphiEnzo Battistella, Anant Maheshwari, Barış Ekim, et al.
Biorxiv : the Preprint Server for Biology|March 27, 2026
Constrained Diffusion as a Paradigm for EvolutionDaniel Lazarev, Anna Sappington, Grant Chau, et al.
Nature Methods|February 5, 2021
CryoDRGN: reconstruction of heterogeneous cryo-EM structures using neural networksEllen D Zhong, Tristan Bepler, Bonnie Berger, et al.
Cell Systems|September 29, 2017
Optimized Sequence Library Design for Efficient In Vitro Interaction MappingYaron Orenstein, Robert Puccinelli, Ryan Kim, et al.
Biorxiv : the Preprint Server for Biology|March 3, 2025
ralphi: a deep reinforcement learning framework for haplotype assemblyEnzo Battistella, Anant Maheshwari, Barış Ekim, et al.
Proceedings of the ACM on Programming Languages|July 1, 2022
Seq: A High-Performance Language for BioinformaticsAriya Shajii, Ibrahim Numanagić, Riyadh Baghdadi, et al.
Bioinformatics (Oxford, England)|June 27, 2022
Topsy-Turvy: integrating a global view into sequence-based PPI predictionRohit Singh, Kapil Devkota, Samuel Sledzieski, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|May 23, 2002
Predicting the beta-helix fold from protein sequence dataLenore Cowen, Phil Bradley, Matthew Menke, et al.
Bioinformatics (Oxford, England)|June 15, 2015
Exploiting ontology graph for predicting sparsely annotated gene functionSheng Wang, Hyunghoon Cho, ChengXiang Zhai, et al.
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