Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
Tools & infrastructure
Interpretable multi-omics models link biomarker ranking to biological structure
Recent multi-omics biomarker work pairs ranking models with reproducible R and web tooling for interpretable feature selection.
1 preprint · 7 published · ↑ 2.9× vs 4-wk avg
Rank 2 Systems biology
Mechanistic models recover tumor dynamics and spatial biases from static snapshots
Spatial and single-cell profiles are increasingly paired with mechanistic models of tumor microenvironment dynamics and therapeutic target discovery.
5 preprints · 4 published · ↑ 2.8× vs 4-wk avg
Rank 3 ML / AI methods
Structured biomedical resources used as checkable references for verifying LLM outputs
Recent 2026 preprints and publications pair LLMs with curated knowledge bases, literature indices, and metadata schemas to check their outputs.
2 preprints · 3 published · ↑ 2.7× vs 4-wk avg
Rank 4 Transcriptomics
Nanopore direct RNA tools improve basecalling, chimera removal and RBP mapping
Direct nanopore RNA sequencing is gaining analysis layers for basecalling, adapter removal, tRNA mapping, and isoform-resolved protein-binding maps.
4 preprints · 7 published · ↑ 2.5× vs 4-wk avg
Rank 5 Structural bio & protein design
Structure predictors move beyond single static models toward conformational ensembles
Recent AlphaFold3 sampling, sequence-level flexibility prediction, and interactome-scale structural models extend assessment beyond single static structures.
7 preprints · 5 published · ↑ 2.4× vs 4-wk avg
Rank 6 Sequence and structure deep learning models predict protein stability, affinity, and pKa↑ 2.3×Structural bio & protein designRank 7 Learned Predictors Steering Structure-Guided Molecule Generation and Search↑ 1.8×Structural bio & protein designRank 8 Single-cell screens and integrative models nominate context-specific cancer targets↑ 1.8×Single-cellRank 9 Structure-based models score antibody, TCR, and peptide binding and guide design↑ 1.8×Structural bio & protein designRank 10 Open deep learning pipelines extract plant root, fruit and growth traits from images↑ 1.9×Tools & infrastructureRank 11 LLM agents orchestrate multi-omics tools, models and literature into verified workflows↑ 1.8×ML / AI methodsRank 12 Benchmarks and new tools for viral, amplicon, and nanopore sequence inference↑ 1.6×Tools & infrastructureRank 13 Cross-platform benchmarks reconcile single-cell chromatin and 3D genome measurements↑ 1.5×Single-cellRank 14 Graph and sequence models link protein structure, DNA binding and genome functionML / AI methodsRank 15 Structure-aware models fuse molecular geometry with biological networks for drug tasks↑ 1.6×ML / AI methodsRank 16 Generative models learn cell and molecular dynamics under perturbation and noise↑ 1.6×Single-cellRank 17 Simulation-based inference of stochastic kinetic models and robust circuit design↑ 1.5×Systems biologyRank 18 Censored-variable causal discovery and paired microbiome latent models for omicsML / AI methodsRank 19 Graph and multimodal models link spatial expression to tissue contextTranscriptomicsRank 20 Open software reuses reprocessed and spatial omics data for PTM and lipid analysisTools & infrastructure
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Rank 21 Computational prediction of bacterial gene function, host range, and regulation from…Tools & infrastructureRank 22 Deep models predict regulatory, mutational and genotype outcomes from biological contextML / AI methodsRank 23 Cross-platform benchmarking and refinement of variant calls across long-read, short-read…GenomicsRank 24 Ligand binding remodels conformational entropy and free energy landscapes in receptorsStructural bio & protein designRank 25 Polymer simulations link chromatin structure to epigenetic memory and Xist regulationEpigenomicsRank 26 Learned models predict peptide properties and resistance across unseen settingsML / AI methodsRank 27 Bird reference genomes scale up via conserved-gene scaffold anchoring and trio binningGenomicsRank 28 Repeats and chromatin context shape genome organization and regulatory variationEpigenomicsRank 29 Formalizing admissible parameter and state regions in biochemical modelsSystems biologyRank 30 Knowledge graphs and ontologies reconcile biological identifiers and taxonomiesTools & infrastructureRank 31 Transfer learning and colocalization extend genetic association to diverse cohortsGenomicsRank 32 Enhanced sampling and ensembles resolve conformational distributions of proteins and RNAStructural bio & protein designRank 33 New FASTQ compressors and k-mer processors target faster sequencing data handlingTools & infrastructureRank 34 Learned sequence models now design RNA structures, terminators, and polymerasesStructural bio & protein designRank 35 Python-based tools accelerate LLM annotation, Bayesian inference, and sequence encodingTools & infrastructureRank 36 New computational methods refine chromatin loop and TAD boundary inference from Hi-CEpigenomicsRank 37 Transmission inference under incomplete contact, covariate and reporting dataSystems biologyRank 38 Quantifying inference error in simplified models of evolution and cell dynamicsML / AI methodsRank 39 Proteomics profiles CSF, plasma and tau modifications to resolve disease biomarkersProteomicsRank 40 Spectral libraries and origin-aware annotation advance LC-MS metabolomicsMetabolomics