Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
Genomics
Curated 2026 resources standardize microbial genomic and metagenomic data for reuse
Several 2026 Nucleic Acids Research releases update large curated microbial genomic and metagenomic resources for cross-study reuse.
20 published · ↑ 4.8× vs 4-wk avg
Rank 2 Tools & infrastructure
Curated knowledgebases link variants and regulatory elements to complex trait genetics
Expanded regulatory registries, trait-linked GWAS resources, and single-cell maps now connect noncoding variation to specific cells and genes.
1 preprint · 22 published · ↑ 4.5× vs 4-wk avg
Rank 3 ML / AI methods
Fusing graph, language model and structure embeddings for interaction prediction
Jan 2026 works couple graph, language-model and structural embeddings within single architectures across drug, protein and RNA tasks.
3 preprints · 15 published · ↑ 3.5× vs 4-wk avg
Rank 4 Tools & infrastructure
Updated resources link noncoding RNAs and regulatory variants to disease and cell states
Large-scale reprocessing of public datasets now links noncoding RNA features to cancer outcomes, immunotherapy response, and cell states.
2 preprints · 22 published · ↑ 3.4× vs 4-wk avg
Rank 5 Tools & infrastructure
Curated databases link molecular glues and degraders to structural and mechanistic data
Expanded 2026 database releases pair curated bioactivity records with structural and mechanistic annotation across multiple therapeutic modalities.
14 published · ↑ 3.1× vs 4-wk avg
Rank 6 Computational inference of cell identity and spatial domains from spatial transcriptomics↑ 2.3×TranscriptomicsRank 7 Curated metabolic databases add programmatic access and cross-resource reaction mapping↑ 2.3×Tools & infrastructureRank 8 Predictive models link formulation, diet and medium inputs to release and discovery↑ 2.3×ML / AI methodsRank 9 Deep learning links routine histology and multi-omics to cancer biomarkers↑ 2.2×ML / AI methodsRank 10 Harmonized omics resources re-integrate public data across cell biology and drug response↑ 2.1×Tools & infrastructureRank 11 Graph neural and attention models integrate priors with omics to infer gene regulation↑ 2.0×ML / AI methodsRank 12 Algorithmic advances close residual gaps and fragmentation in long-read genome assembly↑ 2.0×GenomicsRank 13 Curated databases consolidate circRNA, RNA modification and polyA site data↑ 1.8×Tools & infrastructureRank 14 2026 updates to gene nomenclature, ontology, and genome resources across species↑ 1.8×Tools & infrastructureRank 15 Single-cell and spatial transcriptomic atlases move into queryable cross-species platforms↑ 1.6×Tools & infrastructureRank 16 Structure-informed representations sharpen remote homology detection and annotation↑ 1.7×Structural bio & protein designRank 17 Ligands shift conformational equilibria and kinetics across diverse protein families↑ 1.7×Structural bio & protein designRank 18 Simulation-calibrated neural and Bayesian inference for noisy biological data↑ 1.7×ML / AI methodsRank 19 Learned sequence models predict TCR, HLA class II and antibody immune recognition↑ 1.6×ML / AI methodsRank 20 Population genomics methods are being tested against reference structure and missingness↑ 1.5×Genomics
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Rank 21 Statistical recovery of dropout-degraded and unresolved cell-type information in…↑ 1.6×Single-cellRank 22 Hi-C-derived 3D chromatin models link structural ensembles to locus-level function↑ 1.6×EpigenomicsRank 23 Learned multi-view integration of multi-omics data across cells and patientsSingle-cellRank 24 Structure-conditioned learning predicts GPCR activation, kinase sites and ligand bindingStructural bio & protein designRank 25 Single-cell foundation models judged by benchmarking rather than architectureSingle-cellRank 26 Pretrained language models are being adapted to peptide, lipid and antibody property…ML / AI methodsRank 27 Predictive first-principles models replace empirical tuning in genetic system designGenomicsRank 28 Spatial and mechanistic constraints are reshaping inference of single-cell dynamicsSingle-cellRank 29 DNA sequence encodes TF binding affinity while chromatin state reads it outEpigenomicsRank 30 Multi-ancestry and rare-variant frameworks extend genetic association beyond common…GenomicsRank 31 Stochastic variability and network structure set timing and size in cellular dynamicsSystems biologyRank 32 Deep learning and computational design advance aptamer binding and biosensor engineeringML / AI methodsRank 33 Diffusion and graph models for molecule, antibody and protein-interface designStructural bio & protein designRank 34 Causal models for omics move to high-dimensional, nonlinear, heterogeneous settingsSystems biologyRank 35 Proteomics resources advance FAIR data sharing and reprocessed protein abundanceProteomicsRank 36 Learned models of fold-switching ensembles mimic training-set structuresStructural bio & protein designRank 37 Information theory and AlphaFold dynamics quantify constraints across proteomesGenomicsRank 38 Learned models of tandem mass spectra for peptide and metabolite identificationProteomicsRank 39 Three-tier valence checks and DNATCO v5.0 refine nucleic acid 3D structure validationStructural bio & protein designRank 40 Minimal monomer design rules drive treadmilling cytomotive filament self-assemblyStructural bio & protein design