Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
Tools & infrastructure
Open tools for omics integration, bias correction, and reference-based analysis
Reprocessed public data, deconvolution benchmarks, and LLM-based annotation are standardizing reusable multi-omics analysis workflows.
2 preprints · 10 published · ↑ 4.0× vs 4-wk avg
Rank 2 Genomics
Ancestry-informed and long-read approaches refine variant discovery across populations
Recent releases pair ancestry-informed allele frequency mapping with long-read and multiplatform benchmarks for structural and somatic variant calling.
3 preprints · 6 published · ↑ 3.2× vs 4-wk avg
Rank 3 Transcriptomics
Spatial omics analyses need correction for segmentation error and 2D sectioning bias
Spatial omics now spans transcriptomic, proteomic, metabolomic and imaging layers, so joint and spatially dependent inference is increasingly central.
3 preprints · 6 published · ↑ 3.0× vs 4-wk avg
Rank 4 Transcriptomics
Computational corrections for nanopore direct RNA artifacts and RNA-protein mapping
Nanopore direct RNA and long-read workflows now pair basecalling, artifact removal, and binding-site inference with isoform-resolved evidence.
1 preprint · 5 published · ↑ 2.4× vs 4-wk avg
Rank 5 Structural bio & protein design
Computed structures and energies score protein-ligand and protein-peptide interactions
Early 2026 reports pair folding models and free energy calculations with docking to extend binding prediction to new target classes and ligand chemotypes.
3 preprints · 6 published · ↑ 2.4× vs 4-wk avg
Rank 6 Graph and equivariant networks predict protein stability, binding and enzyme traits↑ 2.3×Structural bio & protein designRank 7 RNA-seq tools span raw reads through differential expression and single-cell analysis↑ 2.3×Tools & infrastructureRank 8 Deep models predict cell-state-dependent gene regulation and transcript processing↑ 2.2×ML / AI methodsRank 9 Ligand binding reshapes conformational entropy and free energy landscapes in receptors↑ 2.2×Structural bio & protein designRank 10 Deep learning links histology and spatial profiles to phenotypes with interpretability↑ 2.1×ML / AI methodsRank 11 Approximate matching and database reduction cut cost in sequence analysis tools↑ 1.9×Tools & infrastructureRank 12 Inferring stochastic kinetic parameters via exact simulation and likelihood-free methods↑ 1.9×Systems biologyRank 13 Generative models capture folding pathways, multicellular dynamics, and MD trajectories↑ 1.9×Single-cellRank 14 Computational models nominate context-specific cancer regulatory and therapeutic targets↑ 1.7×Single-cellRank 15 Mechanistic and causal structure coupled to variable selection in biomarker models↑ 1.8×Systems biologyRank 16 Mechanistic models of tumor multicellular dynamics from single-cell and spatial data↑ 1.8×Single-cellRank 17 Open deep-learning pipelines automate high-throughput plant phenotype extraction↑ 1.9×Tools & infrastructureRank 18 Benchmarks and flexibility-aware models refine protein structure prediction accuracy↑ 1.6×Structural bio & protein designRank 19 Viral surface protein variation mapped onto structure and lineage divergence↑ 1.6×GenomicsRank 20 LLMs grounded in curated databases and literature retrieval for biomedical tasks↑ 1.5×ML / AI methods
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Rank 21 Incomplete data constrains transmission inference: tracing, Rt estimation, vector traits↑ 1.6×Systems biologyRank 22 Topology and geometry as structural priors in molecular and protein learning models↑ 1.5×ML / AI methodsRank 23 Benchmarking and new tools for viral, nanopore, circular DNA and amplicon genomicsTools & infrastructureRank 24 Knowledge graphs and ontology APIs standardize biological identifiers and taxonomiesTools & infrastructureRank 25 Standardizing and harmonizing heterogeneous biomedical datasets for predictive modelingTools & infrastructureRank 26 Learned models predict peptide permeability, bitterness, and antimicrobial resistanceML / AI methodsRank 27 Formal state and parameter spaces constrain biochemical circuit designSystems biologyRank 28 Learned predictors steering molecule generation toward structure and property objectivesStructural bio & protein designRank 29 Automated pipelines integrate transcriptomic evidence to annotate eukaryotic genomesGenomicsRank 30 Transposable elements, repeats and horizontal transfer reshape genome contentGenomicsRank 31 Single-cell maps define repair niches, tumour origins and age-linked HSC statesSingle-cellRank 32 ML models now predict phage host range, terminators, and E. coli gene regulationSystems biologyRank 33 Transposable elements and chromatin states link sequence to 3D genome organizationEpigenomicsRank 34 LLM agents orchestrate bioinformatics tools and literature for omics analysis and…ML / AI methodsRank 35 Polymer models couple chromatin structure to epigenetic memory and X inactivationEpigenomicsRank 36 Metadata standards and repository redesign for reusable synthetic biology and…Tools & infrastructureRank 37 Unified loop calling, scATAC benchmarks and 3D genome harmonization tools emergeEpigenomicsRank 38 Computational models couple spatial context with expression and 3D genome structureEpigenomicsRank 39 Curated resources map residue-level PTMs, microproteins and lipid contactsProteomicsRank 40 Spectral libraries and origin-aware annotation advance untargeted metabolomicsMetabolomics