Top 40
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BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
ML / AI methods
Joint inference of single-cell dynamics, perturbations, and replicate posteriors
Noisy single-cell and replicate data motivate inference methods that scale, transfer across contexts, and respect unbalanced or latent structure.
4 preprints · ↑ 2.3× vs 4-wk avg
Rank 2 Tools & infrastructure
Reproducible tools reanalyze omics data for annotation, QC and biomarker discovery
Reproducible, modular workflows now pair LLM-assisted annotation and bulk or single-cell QC with multi-omics integration in open or interactive software.
4 preprints · 4 published · ↑ 1.8× vs 4-wk avg
Rank 3 Systems biology
Geometric models define admissible regions for biological parameters and states
January 2026 preprints and a published study formalize biological state and parameter spaces geometrically, with explicit constraints for analysis.
3 preprints · 1 published · ↑ 1.9× vs 4-wk avg
Rank 4 ML / AI methods
Sequence embeddings paired with structure and graph features for protein prediction
Recent preprints and publications pair protein language model embeddings with structural or relational graphs to predict protein and DNA-related function.
6 preprints · 2 published · ↑ 1.8× vs 4-wk avg
Rank 5 Transcriptomics
Graph and generative models link histology morphology to spatial gene expression
Recent work pairs H&E images with spatial transcriptomics to infer expression, cell-cell communication, and cell-type abundance directly from tissue morphology.
2 preprints · 3 published · ↑ 1.8× vs 4-wk avg
Rank 6 Deep learning converts biological micrographs into quantitative measurements across scales↑ 1.8×ML / AI methodsRank 7 Computational methods reconcile bulk, single-cell, and multi-omic transcriptomic data…↑ 1.7×Single-cellRank 8 Learned models and rigidity analysis resolve protein conformational states↑ 1.7×Structural bio & protein designRank 9 Alignment-free and workflow tools streamline repeat annotation, QC, and genome assembly↑ 1.6×Tools & infrastructureRank 10 Representation strategies for molecular property prediction and generative design↑ 1.6×ML / AI methodsRank 11 Predicting genotype-phenotype coupling under selection across viruses and immune…↑ 1.6×ML / AI methodsRank 12 Learned models of protein 3D structure for alignment, interaction and binding analysisStructural bio & protein designRank 13 AI models predict conformational ensembles, with molecular dynamics as the benchmarkStructural bio & protein designRank 14 Algorithmic and hardware redesigns cut the cost of core sequencing-data primitivesTools & infrastructureRank 15 Web platforms unify harmonized copy number, colocalization and cancer mutation dataTools & infrastructureRank 16 Python and compiled-backend tools speed up Bayesian, spatial, and omics analysesTools & infrastructureRank 17 Deep learning models infer chromatin structure and regulatory activity from genomic dataML / AI methodsRank 18 Long-read nanopore profiling links RNA-binding proteins to specific full-length isoformsML / AI methodsRank 19 E. coli reference resources make proteome and regulatory evidence explicitTranscriptomicsRank 20 ML models predict peptide permeability and small-molecule activity against drug targetsStructural bio & protein design
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Rank 21 Reference standards and callers expose false positives in variant detectionGenomicsRank 22 MD and enhanced sampling resolve how molecular glues and ligands stabilize complexesStructural bio & protein designRank 23 Computed readouts of single-molecule motion, force, and peptide translocationStructural bio & protein designRank 24 Mechanistic models of tumor tissue dynamics are used to probe interventions in silicoSystems biologyRank 25 Automated search tuning and R-based tools for proteomics and molecular profilingTools & infrastructureRank 26 Pipelines infer bacterial gene functions from genomes, plasmids and metagenomesTools & infrastructureRank 27 Linking disease variants to cell types via single-cell chromatin and enhancer-gene mapsGenomicsRank 28 Pangenome and re-sequencing resources link genome variation to adaptation traitsGenomicsRank 29 Scalable GWAS platforms and transfer learning refine polygenic score predictionML / AI methodsRank 30 Computational tools infer biological parameters from sequencing dataTools & infrastructureRank 31 Mass spectrometry maps disease-linked protein states in patient and single-cell samplesProteomicsRank 32 Computational surveys define new phage receptor-binding and BREX defense diversityGenomicsRank 33 New methods quantify peptide stickiness, helix geometry and RNA pseudoknot structureStructural bio & protein designRank 34 Deep learning predicts and designs antibody, TCR, and binder protein interfacesStructural bio & protein designRank 35 Repeats, duplications and inversions resolved in human and degu genomesGenomicsRank 36 Statistical methods for expression summaries, DE detection and 3D spatial transcriptomicsTranscriptomicsRank 37 Single-cell and population variability is used to infer aging and neurogenic mechanismsSingle-cellRank 38 Somatic variants joined to dependency and single-cell context for target nominationSingle-cellRank 39 Single-cell and metagenomic methods resolve host-associated microbial functionGenomicsRank 40 Learned models predict metabolic sites, MS2 identifiability, and metabolite annotationMetabolomics