International Conference on Computational Molecular Biology
RECOMB
B
CORE rank
CORE rank (raw)
B
Fields of research
Applied Computing
Papers indexed
1,348
1997–2025
Papers per year
199782 peak2025
Most published authors
RECOMB papers
1,348 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2025 | Detecting Antimicrobial Resistance Through MALDI-TOF Mass Spectrometry with Statistical Guarantees Using Conformal Prediction. | Nina Corvelo Benz, Lucas Miranda, Dexiong Chen, Janko Sattler, Karsten M. Borgwardt |
| 2025 | ralphi: A Deep Reinforcement Learning Framework for Haplotype Assembly. | Enzo Battistella, Anant Maheshwari, Baris Ekim, Bonnie Berger, Victoria Popic |
| 2025 | Causal Disentanglement of Treatment Effects in Single-Cell RNA Sequencing Through Counterfactual Inference. | Shaokun An, Jae-Won Cho, Kai Cao, Jiankang Xiong, Martin Hemberg, Lin Wan |
| 2025 | A Phylogenetic Approach to Genomic Language Modeling. | Carlos Albors, Jianan Canal Li, Gonzalo Benegas, Chengzhong Ye, Yun S. Song |
| 2025 | ScatTR: Estimating the Size of Long Tandem Repeat Expansions from Short-Reads. | Rashid Al-Abri, Gamze Grsoy |
| 2024 | CoRAL Accurately Resolves Extrachromosomal DNA Genome Structures with Long-Read Sequencing. | Kaiyuan Zhu, Matthew G. Jones, Jens Luebeck, Xinxin Bu, Hyerim Yi, King L. Hung, Ivy Tsz-Lo Wong, Shu Zhang, Paul S. Mischel, Howard Y. Chang, Vineet Bafna |
| 2024 | Undesignable RNA Structure Identification via Rival Structure Generation and Structure Decomposition. | Tianshuo Zhou, Wei Yu Tang, David H. Mathews, Liang Huang |
| 2024 | Contrastive Fitness Learning: Reprogramming Protein Language Models for Low-N Learning of Protein Fitness Landscape. | Junming Zhao, Chao Zhang, Yunan Luo |
| 2024 | Discovering and Overcoming the Bias in Neoantigen Identification by Unified Machine Learning Models. | Ziting Zhang, Wenxu Wu, Lei Wei, Xiaowo Wang |
| 2024 | Prompt-Based Learning on Large Protein Language Models Improves Signal Peptide Prediction. | Shuai Zeng, Duolin Wang, Lei Jiang, Dong Xu |
| 2024 | Accurate Assembly of Circular RNAs with TERRACE. | Tasfia Zahin, Qian Shi, Xiaofei Carl Zang, Mingfu Shao |
| 2024 | SEM: Size-Based Expectation Maximization for Characterizing Nucleosome Positions and Subtypes. | Jianyu Yang, Kuangyu Yen, Shaun Mahony |
| 2024 | FragXsiteDTI: Revealing Responsible Segments in Drug-Target Interaction with Transformer-Driven Interpretation. | Ali Khodabandeh Yalabadi, Mehdi Yazdani-Jahromi, Niloofar Yousefi, Aida Tayebi, Sina Abdidizaji, zlem zmen Garibay |
| 2024 | Color Coding for the Fragment-Based Docking, Design and Equilibrium Statistics of Protein-Binding ssRNAs. | Taher Yacoub, Roy Gonzlez-Alemn, Fabrice Leclerc, Isaure Chauvot de Beauchne, Yann Ponty |
| 2024 | Determining Optimal Placement of Copy Number Aberration Impacted Single Nucleotide Variants in a Tumor Progression History. | Chih Hao Wu, Suraj Joshi, Welles Robinson, Paul F. Robbins, Russell Schwartz, Sleyman Cenk Sahinalp, Salem Malikic |
| 2024 | TRIBAL: Tree Inference of B Cell Clonal Lineages. | Leah L. Weber, Derek Reiman, Mrinmoy Saha Roddur, Yuanyuan Qi, Mohammed El-Kebir, Aly A. Khan |
| 2024 | Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning. | Holly R. Steach, Siddharth Viswanath, Yixuan He, Xitong Zhang, Natalia Ivanova, Matthew J. Hirn, Michael Perlmutter, Smita Krishnaswamy |
| 2024 | Centrifuger: Lossless Compression of Microbial Genomes for Efficient and Accurate Metagenomic Sequence Classification. | Li Song, Ben Langmead |
| 2024 | Graph-Based Genome Inference from Hi-C Data. | Yihang Shen, Lingge Yu, Yutong Qiu, Tianyu Zhang, Carl Kingsford |
| 2024 | SpaCeNet: Spatial Cellular Networks from Omics Data. | Stefan Schrod, Niklas Lck, Robert Lohmayer, Stefan Solbrig, Tina Wipfler, Katherine H. Shutta, Marouen Ben Guebila, Andreas Schfer, Tim Beibarth, Helena U. Zacharias, Peter J. Oefner, John Quackenbush, Michael Altenbuchinger |
| 2024 | Overcoming Observation Bias for Cancer Progression Modeling. | Rudolf Schill, Maren Klever, Andreas Lsch, Y. Linda Hu, Stefan Vocht, Kevin Rupp, Lars Grasedyck, Rainer Spang, Niko Beerenwinkel |
| 2024 | Memory-Bound and Taxonomy-Aware K-Mer Selection for Ultra-Large Reference Libraries. | Ali Osman Berk Sapci, Siavash Mirarab |
| 2024 | BONOBO: Bayesian Optimized Sample-Specific Networks Obtained by Omics Data. | Enakshi Saha, Viola Fanfani, Panagiotis Mandros, Marouen Ben Guebila, Jonas Fischer, Katherine H. Shutta, Kimberly Glass, Dawn L. DeMeo, Camila Miranda Lopes-Ramos, John Quackenbush |
| 2024 | Automated Design of Efficient Search Schemes for Lossless Approximate Pattern Matching. | Luca Renders, Lore Depuydt, Sven Rahmann, Jan Fostier |
| 2024 | Meta-colored Compacted de Bruijn Graphs. | Giulio Ermanno Pibiri, Jason Fan, Rob Patro |
51–75 of 1,348← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- AMICCAIMedical Image Computing and Computer-Assisted Intervention
- AAIEDInternational Conference on Artificial Intelligence in Education
- AICWSMInternational Conference on Web and Social Media
- AISMBIntelligent Systems in Molecular Biology
- ASIGSPATIALACM International Conference on Advances in Geographic Information Systems