Top 40
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Rank 1
Single-cell
Inferring cellular dynamics and noise from single-cell and time-series measurements
Single-cell and time-series data now enable explicit kinetic, noise-aware, and trajectory models alongside learned embeddings.
8 preprints · 3 published · ↑ 3.7× vs 4-wk avg
Rank 2 Single-cell
Computational tools refine single-cell annotation, perturbation, and spatial mapping
Preprints and papers from November 2025 address cross-platform annotation, spatial denoising, and CRISPR perturbation readouts in single-cell data.
8 preprints · 6 published · ↑ 3.2× vs 4-wk avg
Rank 3 ML / AI methods
Fusing protein language model embeddings with structural and chemical modalities
Recent preprints and publications pair pretrained sequence encoders with 3D structure, binding-site, and chemical embeddings for function prediction.
8 preprints · 2 published · ↑ 2.5× vs 4-wk avg
Rank 4 Transcriptomics
Graph and generative models infer cellular programs from transcriptomic and spatial data
Preprints pair graph and generative models with spatial and single-cell transcriptomes to infer regulatory and perturbation responses.
7 preprints · 1 published · ↑ 1.9× vs 4-wk avg
Rank 5 Tools & infrastructure
Accelerated and standardized software for sequence alignment and single-cell analysis
Recent releases pair GPU-accelerated alignment and Rust read processing with containerized, standardized single-cell and modeling environments.
3 preprints · 3 published · ↑ 1.9× vs 4-wk avg
Rank 6 Pretrained language-model embeddings feed variant and miRNA target prediction models↑ 2.0×ML / AI methodsRank 7 Proteome-wide prediction of protein interactions and functional regions↑ 1.9×ML / AI methodsRank 8 MD links flexible regions to allosteric coupling in viral and bacterial proteins↑ 1.9×Structural bio & protein designRank 9 Benchmarked computational workflows for mass spectrometry and imaging omics data↑ 1.9×MetabolomicsRank 10 Long-read and population genome resources refine human reference and variant benchmarks↑ 1.8×GenomicsRank 11 Computational models target antibody loops, peptide-MHC complexes and disordered epitopes↑ 1.6×Structural bio & protein designRank 12 Mixture-of-experts and genetic algorithms model antimicrobial resistance evolution↑ 1.6×ML / AI methodsRank 13 Deep learning and graph models predict drug, kinase-site, and miRNA-drug associationsML / AI methodsRank 14 Joint Learned Representations of Imaging, Histology, Genomics and Clinical Data↑ 1.5×ML / AI methodsRank 15 Deep learning predicts mutation effects on protein and RNA binding and structureStructural bio & protein designRank 16 Supervised models predict chromatin marks, gene structure and transcript abundanceTranscriptomicsRank 17 Graph-based literature retrieval and generative biomedical language models↑ 1.5×ML / AI methodsRank 18 Histology-guided tiling and region segmentation reshape whole-slide cancer analysisML / AI methodsRank 19 Alignment-light computational tools for prokaryotic and metagenomic sequence analysisGenomicsRank 20 Computational checks expose DNA off-targeting artifacts and novel intronic polyadenylationEpigenomics
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Rank 21 Genomic resources link domestication, hybridization and methylation inheritanceGenomicsRank 22 Phylogeny-guided tools assess diversity and quality in genomic and metabarcoding dataGenomicsRank 23 Computational inference of metabolic crosstalk and regulation from omics and spatial dataSystems biologyRank 24 Learned and computational models operate directly on raw biological imaging dataStructural bio & protein designRank 25 LLMs and ML models predict therapeutic assets, promiscuity, and elution orderTools & infrastructureRank 26 Generative models design target-specific ligands under docking and property objectivesStructural bio & protein designRank 27 Computational pipelines predict ligand binding residues, pockets, and docked posesStructural bio & protein designRank 28 Sequencing and primer choices limit recovery of microbial diversity across populationsGenomicsRank 29 Network energetics and spiking models link cortical dynamics to learning behaviorSystems biologyRank 30 Mesoscale material properties and kinetic control in condensate and membrane systemsSystems biologyRank 31 Finite element and data-driven models link tissue microstructure to mechanical outputSystems biologyRank 32 Complexity measures, mechanistic models, and adaptive stimulation track EEG brain statesSystems biologyRank 33 Genome mining uncovers secreted antimicrobials and effectors from diverse microbial…GenomicsRank 34 Computational annotation of plant microproteins and phase-separation proteinsGenomicsRank 35 Learned models resolve biomolecular conformational dynamics and assembly kineticsStructural bio & protein designRank 36 Compact storage and indexing methods for methylation, sequencing files and k-mer setsTools & infrastructureRank 37 Persistent homology and Grassmann geometry recover multiscale structure in omics dataSingle-cellRank 38 Convergent gene gain and loss in land animals; recombination desert in mammalsGenomicsRank 39 Geometric, dynamical and topological brain representations are becoming modeled objectsSystems biologyRank 40 Constraint-based flux modelling links plasmid design to E. coli metabolismSystems biology