Top 40
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BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
Single-cell
Generative and graph models infer regulatory structure from single-cell and spatial data
Single-cell and spatial datasets now support generative, graph, and optimal-transport models that link modalities with weak or partial correspondence.
13 preprints · 3 published · ↑ 3.3× vs 4-wk avg
Rank 2 Tools & infrastructure
Sequencing and informatics tools are benchmarked against reference data across platforms
Recent preprints and publications pair new long-read, short-read, and single-cell methods with explicit benchmarks against reference data or established tools.
5 preprints · 6 published · ↑ 2.9× vs 4-wk avg
Rank 3 Genomics
Genome-wide features are used to infer origin, repair and instability in cancer
Single-cell, long-read and deep learning methods are now applied to cancer genome instability, repair and regulation.
7 preprints · 4 published · ↑ 2.8× vs 4-wk avg
Rank 4 Structural bio & protein design
Force fields, ensembles and membrane coupling shape protein energy landscapes
Refined force fields and enhanced sampling now couple simulations to SAXS, NMR and ITC data across membrane and condensate systems.
5 preprints · 4 published · ↑ 2.4× vs 4-wk avg
Rank 5 Systems biology
Fitting control policies and network models to recorded neural and kinematic data
Control policies and network models are now fitted directly to kinematic, local field potential, and fMRI-linked measurements.
4 preprints · 1 published · ↑ 2.1× vs 4-wk avg
Rank 6 Optimal transport and joint embeddings align heterogeneous biological measurements↑ 2.1×ML / AI methodsRank 7 Graph and topological structure used to infer disease-associated molecular features↑ 1.9×Systems biologyRank 8 Outcome-specified omics models predict vaccine, sepsis and radiation phenotypes↑ 1.9×Tools & infrastructureRank 9 Refined fine-mapping, regulatory QTL and variant effect models link variants to traits↑ 1.7×GenomicsRank 10 Coupling observation models to inference tools across infection and clinical data↑ 1.6×ML / AI methodsRank 11 Learned models encode biological hierarchy in genomic and microbial sequence data↑ 1.6×ML / AI methodsRank 12 Computational tools infer gene specificity, regulatory modules and gene setsTools & infrastructureRank 13 Genome-wide variation tests selection and convergence across animal lineages↑ 1.6×GenomicsRank 14 Language models and optimization steer nucleic acid design toward defined targets↑ 1.5×Structural bio & protein designRank 15 Computational calling and calibration of genomic variants from sequencing dataGenomicsRank 16 Graph-based genome representations capture pathogen variation beyond linear referencesGenomicsRank 17 Input construction and support measures in genomic inference are evaluated directlyGenomicsRank 18 Interpretable models probe regulatory sequence syntax from motifs to miRNA bindingML / AI methodsRank 19 Learned representations drive deep models of drug, toxicity, and transcriptomic predictionML / AI methodsRank 20 Benchmarks expose limits of AlphaFold homodimer and TCR-epitope binding predictionsML / AI methods
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Rank 21 Chromosome-level whiptail genomes expose introgression and unisexual genome evolutionGenomicsRank 22 Long-read assemblies and annotations extend reference genomes across diverse animalsGenomicsRank 23 Reduced models make state transitions explicit outputs across three biological systemsSystems biologyRank 24 Reproducible R tools link omics preprocessing, deconvolution, and microbiome analysisTools & infrastructureRank 25 Isoform- and normalization-aware methods refine regulatory inference from sequencing dataEpigenomicsRank 26 Storage and index layers governing scalable access to compressed genomic dataTools & infrastructureRank 27 Assumption-sensitive calibration of epidemic and phylodynamic modelsSystems biologyRank 28 Deep learning and protein language models expand enzyme function discoveryML / AI methodsRank 29 Natural-language agents automate multi-step bioinformatics workflowsML / AI methodsRank 30 Embedding fusion and retrieval augmentation extend protein sequence and structure tasksStructural bio & protein designRank 31 Deep learning and structural resources for cryo-EM, cryo-ET and nanopore analysisStructural bio & protein designRank 32 Spatial models infer gene co-expression and tissue-level differential patterningTranscriptomicsRank 33 Mechanistic models link somatic mutation and mitochondrial dynamics to aging and cancerSystems biologyRank 34 Multi-omics and network models link tumor plasticity and niches to patient outcomesSystems biologyRank 35 Computational recovery of protein quantities from confounded imaging and MS dataTools & infrastructureRank 36 Multi-omics integration for predicting radiation response and cancer survivalSystems biologyRank 37 Convergent antibody binding modes and near-universal SARS-CoV-2 immune escapeStructural bio & protein designRank 38 Structure-guided computational design of peptides, antibodies, enzymes, and ligandsStructural bio & protein design