Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
ML / AI methods
Pretrained encoders and structured priors refine molecular and protein representations
Pretrained chemical and protein language models are now routinely combined with graph and knowledge priors in drug and molecule prediction.
11 preprints · 7 published · ↑ 3.0× vs 4-wk avg
Rank 2 Structural bio & protein design
Objective-driven generative models for RNA, peptide, and protein conformational design
Preprints from January–February 2026 apply objective-driven conditioning of pretrained generative models to RNA, peptide, and protein conformational tasks.
10 preprints · ↑ 3.1× vs 4-wk avg
Rank 3 Single-cell
Structured priors and network knowledge guide single-cell and omics inference models
Encoding biological structure directly in inference objectives, rather than correcting outputs afterward, is emerging across single-cell and omics tasks.
7 preprints · 1 published · ↑ 2.2× vs 4-wk avg
Rank 4 Genomics
Benchmarking exposes dataset-specific limits of genomic variation computational methods
Explicit ground-truth and benchmark validation now tests variant, repeat, and noncoding constraint methods on defined datasets.
2 preprints · 4 published · ↑ 2.3× vs 4-wk avg
Rank 5 ML / AI methods
Viral sequence variation linked to variant and antigenic classification
Epistatic coupling, antigenic mapping, and host-adaptation analysis are now being applied to SARS-CoV-2 and influenza genomic data.
3 preprints · 2 published · ↑ 2.1× vs 4-wk avg
Rank 6 Histology-informed graph models sharpen spatial transcriptomic domain identification↑ 1.9×TranscriptomicsRank 7 Pretrained genomic models are being adapted to regulatory and variant prediction tasks↑ 1.7×ML / AI methodsRank 8 Browser-based platforms expose GWAS, QTL, and network analyses for interactive reuse↑ 1.9×Tools & infrastructureRank 9 Sequence and structure models target protein disorder, binding interfaces and dynamics↑ 1.7×Structural bio & protein designRank 10 Learned models bridge histology, omics, and single-cell data for biological prediction↑ 1.7×ML / AI methodsRank 11 Frameworks standardize spatial, bulk and single-cell omics analysis for reproducibility↑ 1.5×Tools & infrastructureRank 12 Deep learning turns microscopy images into quantitative, comparable cell and tissue…ML / AI methodsRank 13 Draft genomes and orthology tools link gene repertoire change to ecology across taxaGenomicsRank 14 Predicting resistance and recurrent substitutions in HIV protease and SARS-CoV-2 spike↑ 1.5×GenomicsRank 15 Stochastic models infer selection and mutation from sparse genomic and single-cell dataSingle-cellRank 16 Deep models predict cancer prognosis and leukemia subtypes from omics and clinical dataML / AI methodsRank 17 Structural priors and hierarchies are being built into biomolecular deep learningML / AI methodsRank 18 Software tools improving reliability of RNA-seq quality control and normalizationTools & infrastructureRank 19 Genome architecture and mobile elements shape sex chromosome and symbiotic evolutionGenomicsRank 20 Reinspecting existing transcriptomic data to resolve transcript and coding annotationsTranscriptomics
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Rank 21 Structured models yield analytic thresholds for epidemic and community dynamicsSystems biologyRank 22 Annotation tool choice alters repeat, transcript, and gene presence-absence callsGenomicsRank 23 Interpretable learned representations of individual brain structure and functionML / AI methodsRank 24 Resource-efficient tools and bias-aware benchmarks for microbial and viral genomicsTools & infrastructureRank 25 Single-cell RNA-seq methods infer tumor clonal structure and ecDNA dynamicsGenomicsRank 26 Sparse and multi-contributor aDNA sampling biases kinship and selection inferenceGenomicsRank 27 Haplotype-resolved assemblies and pangenomes sharpen variant and structural analysisGenomicsRank 28 Single-cell and regulatory profiling resolves disease-linked cell statesSingle-cellRank 29 Conformational ensembles link disordered protein sequence to aggregation propensityStructural bio & protein designRank 30 Curated knowledge bases unify biomarker, drug-response and toxicity data for queryable…Tools & infrastructureRank 31 Improving MS peptide identification, PTM quantitation, and LC-MS instrument benchmarkingProteomicsRank 32 MD simulations dissect allosteric coupling between ligands, partners and their targetsStructural bio & protein designRank 33 Network-level drug-target mapping spanning predictive modeling and curated databasesStructural bio & protein designRank 34 Faster read mapping, alignment, and community detection via kernel-level redesignTools & infrastructureRank 35 Software tools link atomic structures to force analysis and coarse-grained self-assemblyStructural bio & protein designRank 36 Transposon-derived promoters and piRNA tools map regulatory sequence across genomesTranscriptomicsRank 37 Stochastic and growth models of cell-state and population dynamics across three systemsSystems biologyRank 38 Computational tools link microbial metabolism to drug transformation and tumor gene…MetabolomicsRank 39 Computational methods quantify spatial and morphological structure in single-cell omicsSingle-cellRank 40 Molecular dynamics links Complex I hydration and proton transport to disease mutationsStructural bio & protein design