Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
Structural bio & protein design
Generative and language models learn protein interaction geometry and dynamics
Learned surrogates for interaction geometry and dynamics are now being applied to antibody design, stability, and conformational ensembles.
7 preprints · 1 published · ↑ 2.9× vs 4-wk avg
Rank 2 Single-cell
Single-cell and bulk methods infer regulatory activity from RNA and chromatin data
Public single-cell and bulk sequencing resources are now harmonized into reference atlases and annotation tools for regulatory inference.
5 preprints · 6 published · ↑ 2.5× vs 4-wk avg
Rank 3 Genomics
Explicit error modeling and population-scale benchmarks refine genomic variant inference
Sequencing and evolutionary processes distort genomic inference, motivating explicit error models and population-scale benchmarks across recent items.
5 preprints · 4 published · ↑ 2.3× vs 4-wk avg
Rank 4 Genomics
Scalable inference of phylogenetic networks and ancestral recombination graphs
Early-2026 preprints and a publication report scalable tools for network, genealogy, genotype, and single-cell phylogeny inference under noisy or large-scale…
4 preprints · 1 published · ↑ 2.1× vs 4-wk avg
Rank 5 Systems biology
Mechanistic models link molecular regulation to system-level dynamics and transitions
Current work pairs regulatory networks with dynamical models to explain cell-state transitions, oscillations, and cross-domain coupling.
4 preprints · 2 published · ↑ 2.0× vs 4-wk avg
Rank 6 Multi-feature prediction of genomic elements from pangenome and long-read assemblies↑ 1.8×TranscriptomicsRank 7 Protein and genome language models tied to structure, fitness and interaction readouts↑ 1.7×ML / AI methodsRank 8 Harmonized, FAIR-compliant metadata tools and portals for omics and clinical data↑ 1.8×Tools & infrastructureRank 9 Stochastic and multiscale models of tumor, glioma and electrotactic cell dynamics↑ 1.9×Systems biologyRank 10 Deep learning models integrate and impute spatial multi-omics across modalities↑ 1.7×Single-cellRank 11 Sequence language models extend to protein, RNA, antibody, and molecular property tasks↑ 1.7×ML / AI methodsRank 12 ML and algorithmic design of nucleic acid sequences for sensing, synthesis, and assays↑ 1.6×GenomicsRank 13 Assemblies and variant catalogues resolve structural change in diverse genomesGenomicsRank 14 Comparative modeling infers prokaryotic regulons and conserved regulatory RNA structures↑ 1.5×GenomicsRank 15 Computational inference of genome structure from sparse, noisy sequencing dataSingle-cellRank 16 Genome language models predict and design promoter and regulatory element activity from…ML / AI methodsRank 17 Coarse-grained MD and flux models probe residue-level contacts in biomolecular condensates↑ 1.5×Structural bio & protein designRank 18 Single-cell and CRISPR screens resolve cell-type-specific regulatory architectureSingle-cellRank 19 Open structure predictors and curated benchmarks extend to peptides and antibodiesML / AI methodsRank 20 Deep sequence models predict RNA splicing, editing, ribosome occupancy and expression↑ 1.5×ML / AI methods
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Rank 21 Stochastic evolutionary models benchmarked against neural and large-scale genomic data↑ 1.6×GenomicsRank 22 LLM agents span perturbation prediction, molecule optimisation and drug discovery…ML / AI methodsRank 23 Potts threading estimates protein reorganization costs for type II kinase inhibitor…Structural bio & protein designRank 24 Reduced structural representations speed up protein-ligand affinity and pose predictionStructural bio & protein designRank 25 Physical polymer models connect 3D genome organization to regulatory outputEpigenomicsRank 26 Attention and graph models are scaling single-cell, spatial, and clinical data analysisML / AI methodsRank 27 Computational models guide immune-relevant therapy and mRNA delivery designStructural bio & protein designRank 28 Open-source simulators for gene regulatory networks and genotype-phenotype dataStructural bio & protein designRank 29 Game payoff structure and network epidemics jointly shape cooperation outcomesSystems biologyRank 30 Automated pipelines and benchmarks for microbial genome and gene analysisTools & infrastructureRank 31 Computational detection of mosaic, copy-number and repeat variation at single-cell scaleGenomicsRank 32 Single-cell and spatial profiling resolves cell lineages and tissue signalingSingle-cellRank 33 Single-cell metabolomics and senescence multiomics extend scalable cellular profilingSystems biologyRank 34 Deep learning and Nextflow pipelines extend DIA and cross-linking MS peptide analysisProteomicsRank 35 Generative molecular design conditioned on learned representations beyond structureStructural bio & protein designRank 36 Structure-constrained models decode and reconstruct EEG and expansion microscopy dataML / AI methodsRank 37 Stress, temperature and superspreading as explicit heterogeneity in epidemic modelsSystems biologyRank 38 LLMs mediate natural-language access to omics and literature-grounded analysisTools & infrastructureRank 39 Methylation-based models predict biological age and sex-divergent aging trajectoriesEpigenomicsRank 40 Computational inference from tandem mass spectra to support metabolite identificationMetabolomics