Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
Genomics
Curated 2026 databases standardize microbial genomes, metagenomes and metadata for reuse
Released in early 2026, these resources address reuse of heterogeneous microbial data through curation, controlled vocabularies and harmonised metadata.
1 preprint · 19 published · ↑ 4.2× vs 4-wk avg
Rank 2 ML / AI methods
Fusing graphs, language models and structure for drug and protein interaction prediction
Recent January 2026 publications pair pretrained language model embeddings with graph and 3D structure encoders for biomolecular prediction.
1 preprint · 14 published · ↑ 4.0× vs 4-wk avg
Rank 3 Genomics
Long-read assembly tools tackle scaffolding, gap filling, and pangenome-guided traversal
Recent preprints and publications introduce algorithms for scaffolding, gap filling, and multi-assembler workflows in long-read genomics.
3 preprints · 4 published · ↑ 3.3× vs 4-wk avg
Rank 4 Tools & infrastructure
Curated databases pair bioactivity records with structural and mechanistic annotation
January 2026 releases extend molecular glue, degrader, and natural product coverage with structure-linked, curated bioactivity data.
16 published · ↑ 3.2× vs 4-wk avg
Rank 5 Genomics
Knowledgebases now map regulatory elements and GWAS variants onto genes and traits
Expanded registries and spatial or single-cell maps now tie regulatory elements and trait-associated variants to target genes and cell context.
1 preprint · 14 published · ↑ 2.9× vs 4-wk avg
Rank 6 Resources map ncRNA regulation and RNA editing across single-cell and cancer datasets↑ 2.8×Tools & infrastructureRank 7 In silico tools map diets, natural products and media to metabolic endpoints↑ 2.7×Tools & infrastructureRank 8 Curated, harmonized omics resources expand single-cell atlases and cell-signaling…↑ 2.3×Tools & infrastructureRank 9 Reference genomics resources broaden species coverage and pan-genome and pathway content↑ 2.1×Tools & infrastructureRank 10 Graph and attention models fuse prior gene networks with omics data for regulation↑ 1.9×ML / AI methodsRank 11 Learned models predict ligands, drug responses, and epigenome-editing outcomes↑ 1.8×EpigenomicsRank 12 Deep learning models predict binding affinity, kinase sites, and virtual screening hits↑ 1.8×Structural bio & protein designRank 13 Curated biodata resources add FAIR access, reprocessing and programmatic interfaces↑ 1.9×Tools & infrastructureRank 14 Curated databases map circRNA, m6A and polyA sites from sequencing-derived datasets↑ 1.8×Tools & infrastructureRank 15 Curated databases expand variant, haplotype, and immune receptor reference resources↑ 1.8×Tools & infrastructureRank 16 Evaluating single-cell foundation models and spatial transcriptomics deconvolution tools↑ 1.6×TranscriptomicsRank 17 Small molecules and pH reshape conformational equilibria in drug-relevant proteins↑ 1.6×Structural bio & protein designRank 18 Computational inference of spatial tissue organization from spatial transcriptomics dataTranscriptomicsRank 19 Monoculture exometabolite profiles predict synthetic consortium behavior in silicoSystems biologyRank 20 Learned multi-omics integration spans single-cell clustering and patient survival↑ 1.6×Single-cell
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Rank 21 Multi-ancestry and integrative methods extend genetic association and fine-mappingGenomicsRank 22 Learned models of tandem mass spectra drive peptide and metabolite identificationProteomicsRank 23 Methods resolve variants in duplications, structural regions, and transposable elementsGenomicsRank 24 Protein language models predict TCR-peptide and antibody-antigen recognition↑ 1.5×ML / AI methodsRank 25 Structural domain models and physicochemical priors sharpen remote homology searchStructural bio & protein designRank 26 Hi-C-based 3D chromatin reconstruction yields single-cell and time-resolved structuresEpigenomicsRank 27 Learned models and simulation hybrids extend protein conformational ensemble samplingStructural bio & protein designRank 28 Pretrained genomic language models are repurposed for expression and variant predictionML / AI methodsRank 29 Pretrained language models transfer to peptide, lipid, and antibody property predictionML / AI methodsRank 30 Network-informed models link genomic features to disease and drug responseML / AI methodsRank 31 New pipelines detect gene fusions, ctDNA variants and cancer tissue of origin from…GenomicsRank 32 Statistical recovery of dropout and unresolved proportions in single-cell expression dataSingle-cellRank 33 Deep and ensemble models predict biomolecular function, stability, and variant effectsML / AI methodsRank 34 Computational methods advance protein-ligand binding pose and affinity predictionStructural bio & protein designRank 35 Generative models conditioned on 3D structure and binding pockets for drug designStructural bio & protein designRank 36 Genome-scale markers and duplication retention reshape evolutionary inferenceGenomicsRank 37 Simulation and Bayesian inference recover parameters from noisy biophysical measurementsStructural bio & protein designRank 38 Stochastic variability and network structure set cellular timing and sizeSystems biologyRank 39 Causal and mediation methods extended to nonlinear, high-dimensional omic dataSystems biologyRank 40 Minimal design rules for treadmilling filaments and DNA-gated condensin dynamicsStructural bio & protein design