Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
Tools & infrastructure
Pipelines and benchmarks address error in bacterial, viral, and lineage genome inference
Recent preprints and publications pair automated long-read pipelines with controlled benchmarks and error correction for pandemic-scale and metagenomic data.
8 preprints · 3 published · ↑ 3.7× vs 4-wk avg
Rank 2 Metabolomics
Computational inference of metabolite identity and conjugates from tandem mass spectra
Large public MS/MS repositories and learned spectral models now support structure proposal and cross-polarity spectral comparison at scale.
2 preprints · 4 published · ↑ 2.4× vs 4-wk avg
Rank 3 Structural bio & protein design
Coarse and language-conditioned representations cut reliance on full atomic structure
Open-source structure predictors now report gains over AlphaFold 3, while coarse-representation scorers target binding affinity at lower computational cost.
9 preprints · 2 published · ↑ 2.2× vs 4-wk avg
Rank 4 Single-cell
Deep models map regulatory sequence and chromatin context to expression readouts
Recent preprints couple DNA sequence and chromatin context with generative objectives for single-cell perturbation and expression prediction.
10 preprints · 2 published · ↑ 2.1× vs 4-wk avg
Rank 5 Epigenomics
Computational methods map trans-eQTLs, mosaic repeats and methylation QTLs at scale
Single-cell and population-scale datasets now let variant detection resolve trans effects, somatic repeat mutations, and regulatory QTLs.
5 preprints · 4 published · ↑ 1.9× vs 4-wk avg
Rank 6 Language models tune tokenization and decoding for protein and genomic sequence tasks↑ 1.9×ML / AI methodsRank 7 Learned and mechanistic models guide primer, enzyme, and in vitro transcription design↑ 1.9×Systems biologyRank 8 Csr/Rsm protein binding is conserved across gamma-proteobacteria while regulons diverge↑ 1.8×GenomicsRank 9 LLM agents grounded in biological knowledge for single-cell and perturbation analysis↑ 1.7×ML / AI methodsRank 10 Learned models predict promoter activity and forecast single-cell state transitions↑ 1.8×Single-cellRank 11 Learned rescoring and automated workflows reshape DIA and cross-linking proteomics↑ 1.7×ProteomicsRank 12 Generative and mechanistic evolution models tested on protein and genomic sequence data↑ 1.8×GenomicsRank 13 Harmonized omics metadata resources enable queryable, portable access to public datasets↑ 1.8×Tools & infrastructureRank 14 Deep models predict splicing, ribosome sites and miRNA targets from RNA sequence↑ 1.6×ML / AI methodsRank 15 Inferring connectivity and gene-regulatory dynamics from simulated and single-cell dataSystems biologyRank 16 Statistical and simulation tools for expression analysis across bulk and spatial dataTools & infrastructureRank 17 Explicit structure in shared latents and priors for incomplete multi-omic dataSingle-cellRank 18 Interpretable models embed biological structure into omics and histology predictionML / AI methodsRank 19 Language model layers and scale shape alignment with human language-network fMRI↑ 1.5×ML / AI methodsRank 20 Web, cloud and CLI tools packaging simulation, docking and molecular design workflowsTools & infrastructure
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Rank 21 Kinetic and hybrid models resolve metabolic and regulatory dynamics across scalesSystems biologyRank 22 Natural-language interfaces layered over omics and gene-regulatory data analysisTools & infrastructureRank 23 Computational models resolve cell states from single-cell, spatial, and imaging dataSingle-cellRank 24 Single-cell multiomics resolve regulatory control and cell lineage in tissuesSingle-cellRank 25 Molecular simulations map flux and fusion pathways in condensates and lipid membranesStructural bio & protein designRank 26 Generative AI models now design antibodies, nanocages, de novo proteins and RNA aptamersStructural bio & protein designRank 27 Learned representations for cryo-EM particle classification and RNA motif modelingStructural bio & protein designRank 28 Evaluation leakage and weak validation inflate predictive performance claims in biologyML / AI methodsRank 29 Heterogeneity in susceptibility, environment and transmission shapes epidemic dynamicsSystems biologyRank 30 Simulations map proton-coupled transport and PET hydrolysis mechanismsStructural bio & protein designRank 31 Structure-Aware Constraints on Learned Representations in Medical ImagingML / AI methodsRank 32 LLM agents orchestrate reproducible genomic and chromatin data analysis workflowsTools & infrastructureRank 33 Feature-based computational prediction of centromeres, chromatin, and DNA motifsEpigenomicsRank 34 Geometric and statistical frameworks for redox, orbital, and phase-separation dataML / AI methodsRank 35 Network Algorithms Predict Rare Disease Genes and Metabolic Gene FunctionSystems biologyRank 36 MRI connectivity moves from descriptive mapping toward predictive and causal inferenceSystems biologyRank 37 Profile-based tools unify RNA virus discovery, taxonomy and domain annotationTools & infrastructureRank 38 Genome-wide data reveal lineage-specific evolutionary change in turtles, dogs and humansGenomicsRank 39 Graph representations of genetic variation scale across ARG, genotyping, and simulationTools & infrastructureRank 40 Computational tools extract structural features from coevolution, dynamics, tomographyStructural bio & protein design