RECOMB 2025 Special Issue
- Sriram Sankararaman1,2,3 and
- Bonnie Berger4,5
- 1Computer Science Department, University of California, Los Angeles, Los Angeles, California 90095, USA;
- 2Department of Human Genetics, University of California, Los Angeles, Los Angeles, California 90095, USA;
- 3Department of Computational Medicine, University of California, Los Angeles, Los Angeles, California 90095, USA;
- 4Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA;
- 5Department of Mathematics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
This extract was created in the absence of an abstract.
The 29th International Conference on Research in Computational Molecular Biology (RECOMB 2025) took place from April 26 to 29, 2025, in Seoul, South Korea. This year, the conference received 339 full paper submissions, with 55 ultimately accepted after a rigorous peer-review process involving at least three reviewers per paper. Authors had the option to submit extended abstracts to the Conference proceedings, in lieu of full-length papers, while pursuing journal publication. Genome Research, a RECOMB partner journal, invited the revised versions of ∼40% of the accepted papers for further review, ultimately leading to the publication of this Special Issue.
RECOMB is the leading international conference on algorithmic computational biology, bridging computational, mathematical, statistical, and biological sciences. It provides a scientific forum for cutting-edge theoretical advances in computational biology and their applications in molecular biology and medicine, emphasizing advancements in computational biology methodologies, including artificial intelligence (AI) and machine learning. Genome Research has been a leading journal in genomics for 30 years. The journal publishes high-impact studies on the structure, function, biology, and evolution of genomes, featuring novel computational algorithms that provide insight into biological processes, such …
