Top 40
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ML / AI methods
Deep learning models predict gene expression, drug interactions, and protein properties
Recent published and preprint work couples biological priors and interpretability constraints with deep and Bayesian prediction models across omics and drug…
Structural bio & protein design
Flow-matching and language models steer generative design of proteins and peptides
Bioinformatics papers dated 2026-08-01 apply flow matching, language-model steering, and reward design to protein and peptide generation.
Single-cell
Computational methods model cell fate and composition from transcriptomic data
Recent methods extend single-cell and bulk transcriptomic analyses to fate dynamics, spatial deconvolution, and annotation, with benchmarking of trajectory…
Genomics
Computational tools advance variant, inversion, and viral genome analysis
Several August 2026 Bioinformatics papers pair deep learning and foundation models with long-read and metagenomic genome analysis.
Systems biology
Data-driven mechanistic models for cell motility, signaling, and inflammation dynamics
Recent methods fit mechanistic models directly to single-cell, spatial, and trajectory data to discriminate between candidate model structures.