Innovations in computational biology: RECOMB 2024 Special Issue
- Jian Ma1 and
- Bonnie Berger2,3
- 1Ray and Stephanie Lane Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA;
- 2Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA;
- 3Department of Mathematics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
This extract was created in the absence of an abstract.
The 28th International Conference on Research in Computational Molecular Biology (RECOMB 2024) took place from April 29 to May 2, 2024, in Cambridge, Massachusetts, USA. This year, the conference received 352 full paper submissions, with 57 ultimately accepted after a rigorous peer-review process involving at least three reviewers per paper. Authors had the option to submit full-length papers or concise versions to the Conference proceedings while pursuing journal publication elsewhere. A subset of these papers was invited for further review at Genome Research, 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 is held annually in the Spring and is paired with its typically adjoining satellite conferences. It provides a scientific forum for the cutting-edge theoretical advances in computational biology and their applications in molecular biology and medicine, emphasizing advancements in computational biology methodologies, ranging from algorithmic innovations to developments in AI and machine learning.
Genome Research has been a leading journal for publishing high-impact studies on genome structure, function, and their roles in evolution, population variation, and disease. The partnership …
