Top 40
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Rank 1
Transcriptomics
Learned models infer spatial domains and cell identities from spatial transcriptomics
Early 2026 spatial transcriptomics papers pair spot-level inference with histology, metabolomics, 3D reconstruction, and benchmarking of foundation models.
3 preprints · 23 published · ↑ 4.6× vs 4-wk avg
Rank 2 Epigenomics
Sequence-derived and chromatin-based maps of cis-regulatory activity across species
Expanded registries, benchmarks, and TF-independent methods now resolve regulatory sequence and chromatin context at larger scale.
3 preprints · 14 published · ↑ 4.2× vs 4-wk avg
Rank 3 Genomics
Curated resources now link variant effects, GWAS loci, and cellular mechanisms
Expanding GWAS, pQTL, and single-cell datasets are being integrated into curated databases that connect genetic variants to mechanisms.
16 published · ↑ 4.2× vs 4-wk avg
Rank 4 Tools & infrastructure
Curated omics databases harmonize public datasets with uniform processing and annotation
Recent 2026 database releases add harmonized reprocessing, single-cell scale, and AI-assisted curation to public omics resources.
28 published · ↑ 3.4× vs 4-wk avg
Rank 5 Genomics
Curated microbial databases expand genome, metagenome and trait resources for inference
Expanded genome, metagenome and phenotype resources now coexist with curated 16S and metagenomic reference collections spanning host, environmental and marine…
20 published · ↑ 3.2× vs 4-wk avg
Rank 6 Multimodal multitask deep learning for drug property and interaction prediction↑ 2.8×ML / AI methodsRank 7 Biological network priors guide graph-based omics inference of drivers and regulators↑ 2.7×ML / AI methodsRank 8 PLM embeddings paired with structural constraints for biomolecular prediction↑ 2.6×ML / AI methodsRank 9 Curated databases pair bioactivity records with structural and mechanistic context↑ 2.7×Tools & infrastructureRank 10 New tools automate long-read assembly, scaffolding, and gap filling↑ 2.3×GenomicsRank 11 Population, pangenome, and graph evidence increasingly inform genomic variant calling↑ 2.2×GenomicsRank 12 Modular software platforms make multi-omics, network and regulatory modeling accessible↑ 2.1×Tools & infrastructureRank 13 Pretrained sequence models are probed for regulatory and variant-level prediction↑ 2.1×ML / AI methodsRank 14 Computational methods decode variants, fusions and cell states from sequencing reads↑ 2.2×GenomicsRank 15 Sequence-based machine learning guides design of RNA-targeting therapeutics↑ 2.1×Structural bio & protein designRank 16 Benchmarks and statistical methods refine inference from single-cell RNA measurements↑ 2.0×Single-cellRank 17 Graph learning couples molecular structure with binding prediction and drug generation↑ 1.9×Structural bio & protein designRank 18 LLM agents in biology are judged by executable and retrieval-grounded checks↑ 1.9×Tools & infrastructureRank 19 Regional and distributional models sharpen inference in high-dimensional molecular data↑ 1.8×EpigenomicsRank 20 Small molecules control protein conformational states via kinetic modeling and design↑ 1.9×Structural bio & protein design
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Rank 21 ML models predict TCR, HLA and protein interaction binding from sequence embeddings↑ 1.7×ML / AI methodsRank 22 Annual 2026 updates to core biological reference databases and resources↑ 1.7×Tools & infrastructureRank 23 Graph pangenomes link structural variation to trait loci across crop lineages↑ 1.7×GenomicsRank 24 Databases link noncoding RNAs and single-cell profiles to regulatory analysis↑ 1.6×Tools & infrastructureRank 25 Chromosome-level genomes and integrated expression atlases expand public data resources↑ 1.6×Tools & infrastructureRank 26 Reference-aware workflows and simulators for long-read and microbial sequencing↑ 1.6×Tools & infrastructureRank 27 Simulation-based inference of epidemiological and evolutionary parameters from sequencesGenomicsRank 28 Curated corpora and reference checks are steering LLMs in biomedical text mining↑ 1.5×ML / AI methodsRank 29 Biological priors and domain adaptation sharpen cell-type inference under scarce dataML / AI methodsRank 30 Deep generative and contrastive models for single-cell and multimodal omics analysisSingle-cellRank 31 Uncertainty-aware statistical inference for heterogeneous biological populationsML / AI methodsRank 32 Adaptive multiscale sampling and trajectory comparison extend molecular dynamics analysisStructural bio & protein designRank 33 AlphaFold and protein language models tested for ligand binding and allosteric sitesStructural bio & protein designRank 34 Polymer models link chromatin architecture to factor search and locus-level mechanicsEpigenomicsRank 35 Noise and regulatory feedback shape timing, memory, and oscillations in cellsSystems biologyRank 36 Analysis tools for genomics are evaluated on robustness and cross-dataset performanceGenomicsRank 37 Deep learning ensembles mirror training-set folds and miss alternative conformationsStructural bio & protein designRank 38 Structure and physicochemical features are refining homology search and functional…Structural bio & protein designRank 39 Learned cell-state embeddings integrate single-cell atlases and map regulatory dynamicsSingle-cellRank 40 Machine learning and benchmarks for annotating metabolites from tandem mass spectraMetabolomics