BioCoder: a benchmark for bioinformatics code generation with large language models.

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Bibliographic Details
Title: BioCoder: a benchmark for bioinformatics code generation with large language models.
Authors: Tang X; Department of Computer Science, Yale University, New Haven, CT 06520, United States., Qian B; Department of Computer Science, Yale University, New Haven, CT 06520, United States., Gao R; Department of Computer Science, Yale University, New Haven, CT 06520, United States., Chen J; Department of Computer Science, Yale University, New Haven, CT 06520, United States., Chen X; Google Deepmind, Mountain View, CA 94043, United States., Gerstein MB; Department of Computer Science, Yale University, New Haven, CT 06520, United States.; Program in Computational Biology & Bioinformatics, Yale University, New Haven, CT 06520, United States.; Department of Molecular Biophysics & Biochemistry, Yale University, New Haven, CT 06520, United States.; Department of Statistics & Data Science, Yale University, New Haven, CT 06520, United States.; Department of Biomedical Informatics & Data Science, Yale University, New Haven, CT 06520, United States.
Source: Bioinformatics (Oxford, England) [Bioinformatics] 2024 Jun 28; Vol. 40 (Suppl 1), pp. i266-i276.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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