Top 40
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BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
Single-cell
Generative and optimal-transport models infer regulatory structure from single-cell data
Single-cell and spatial profiles are being modeled with time-varying, perturbation-aware, and weakly linked multi-omic methods.
16 preprints · 5 published · ↑ 4.8× vs 4-wk avg
Rank 2 Genomics
Benchmarked sequencing workflows span nanopore, long-read, and single-cell assays
Sequencing and informatics methods are increasingly judged against reference data, including GIAB, bulk TCR-seq, and CITE-seq tools.
2 preprints · 6 published · ↑ 2.3× vs 4-wk avg
Rank 3 Genomics
Genome-wide readouts infer repair, origin and instability in cancer genomes
Single-cell and long-read sequencing now resolve ongoing instability, somatic haplotypes and locus-level methylation in tumors.
6 preprints · 3 published · ↑ 2.3× vs 4-wk avg
Rank 4 Systems biology
Fitted control policies and neural models validated against kinematic and neural data
Simulation-based and Bayesian fitting now links control policies and network structure to kinematic and neural recordings.
4 preprints · 1 published · ↑ 2.1× vs 4-wk avg
Rank 5 Structural bio & protein design
Lipids and ligands reshape protein energy landscapes and conformational dynamics
Refined force fields, enhanced-sampling MD and coarse-grained models now resolve membrane- and ligand-coupled energy landscapes against experimental data.
5 preprints · 4 published · ↑ 1.8× vs 4-wk avg
Rank 6 Omics-based models predict reactogenicity and stratify sepsis and IBD patients↑ 1.7×Systems biologyRank 7 Computational tools refine copy number, variant effect, and sequencing artifact calls↑ 1.6×GenomicsRank 8 Generative models steer nucleic acid and peptide sequence design toward targets↑ 1.6×Structural bio & protein designRank 9 Biological priors shape DNA, protein, and enzyme language model representations↑ 1.6×ML / AI methodsRank 10 Deep learning models predict molecular, protein, and drug interaction endpoints↑ 1.5×ML / AI methodsRank 11 Workflow tools automate drug repurposing, variant interpretation and protein design↑ 1.6×Tools & infrastructureRank 12 Animal genomes reveal selection, convergence, introgression and constraint signatures↑ 1.6×GenomicsRank 13 Calibrated fine-mapping and cell-resolved QTL models refine genetic association claimsGenomicsRank 14 Explicit observation models linking surveillance and serology to infection inferenceSystems biologyRank 15 Genomic tools tested against defined references in metagenomics and viral discoveryGenomicsRank 16 Modeling measurement artifacts sharpens isoform and chromatin-mark regulatory inferenceEpigenomicsRank 17 Computational models couple mechanical load to cell injury and ECM remodelingSystems biologyRank 18 Spatial and multi-omic profiling links tumor states and niches to patient outcomesSingle-cellRank 19 Graph and higher-order structure used to infer disease-associated molecular featuresSystems biologyRank 20 Quantitative models tie somatic mutation and mitochondrial fission to aging and cancerSystems biology
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Rank 21 Data construction and negative-set design determine reliability of binding predictionsML / AI methodsRank 22 Memory-lean algorithms scale genome-wide ancestry, alignment and diversity analysesGenomicsRank 23 Differentiable and graph-aware methods for genotyping, phasing and ancestry inferenceGenomicsRank 24 Model-derived bistability links in vitro kinetics to in vivo protein aggregationSystems biologyRank 25 Taxonomy-guided feature engineering and metabolic modeling for microbiome analysisML / AI methodsRank 26 Index layers over compressed genomic data enable scalable k-mer and FASTQ accessTools & infrastructureRank 27 Retrieval-conditioned embeddings extend from protein structure search to sequence designStructural bio & protein designRank 28 Interpretable sequence models decode regulatory syntax and binding determinantsML / AI methodsRank 29 New computational methods for longitudinal microbiome, transcriptomic, and clinical dataML / AI methodsRank 30 Deep learning quantifies tissue and cell structures in histology and microscopy imagesML / AI methodsRank 31 Deep learning and language models recover enzymes that prior annotation missedML / AI methodsRank 32 Spatial dependence modeled explicitly to infer gene co-expression in transcriptomic dataTranscriptomicsRank 33 Multi-omic layers integrated to predict cancer survival and radiation responseSystems biologyRank 34 Accelerating structure-based drug discovery workflows with ML and enhanced samplingStructural bio & protein designRank 35 Convergent antibody binding modes and near-universal SARS-CoV-2 immune escapeStructural bio & protein designRank 36 Deep learning extracts structures from cryo-ET, cryo-EM and 4D microscopy dataStructural bio & protein designRank 37 Structure-guided computational design optimizes enzymes, antibodies and MAGL inhibitorsStructural bio & protein design