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Briefings in Bioinformatics|March 26, 2026
Large language model agents for biological intelligence across genomics, proteomics, spatial biology, and biomedicineSajib Acharjee Dip, Dipanwita Mallick, Uddip Acharjee Shuvo, et al.
Briefings in Bioinformatics|March 30, 2026
CrisprPr: a hybrid-driven framework for CRISPR/Cas9 off-target prediction with analysis of prior-information updatesYingfu Wu, Yang Qi, Yiqi Chen, et al.
Briefings in Bioinformatics|April 15, 2026
DuaST: an integrated deep learning framework for spatial transcriptomics with cross-branch interactionXiao Liang, Pei Liu, Juping Li, et al.
Briefings in Bioinformatics|April 15, 2026
The good, the bad, and the ugly: opportunities, challenges, and pitfalls in spatial proteomics modelingShahil Yasar Haque, Swakkhar Shatabda, Salekul Islam, et al.
Briefings in Bioinformatics|April 15, 2026
MELGene: knowledge-enhanced multimodel ensemble learning for disease-gene association predictionHaoyu Tian, Kuo Yang, Zeyu Liu, et al.
Briefings in Bioinformatics|April 14, 2026
BCRInsight: an antibody language model to decode biological signals from BCR sequencesHailong Zhao, Shang Lou, Xuhua Li, et al.
Briefings in Bioinformatics|August 9, 2022
R5hmCFDV: computational identification of RNA 5-hydroxymethylcytosine based on deep feature fusion and deep votingHongyan Shi, Shengli Zhang, Xinjie Li
Briefings in Bioinformatics|June 14, 2026
Reflections on the use of LLMs for cell annotationPartha Pratim Ray
Briefings in Bioinformatics|June 14, 2026
A unified framework for selecting and evaluating cell-type-specific gene co-expressions in single-cell dataXinning Shan, Yingxin Lin, Hongyu Zhao
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