Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
Single-cell
Transfer-oriented integration of single-cell omics across cancer types and modalities
Foundation-scale models and pan-cancer benchmarks now test whether single-cell integration transfers across cancer types and omic layers.
11 preprints · 9 published · ↑ 4.0× vs 4-wk avg
Rank 2 Single-cell
Adapting RNA-seq quantification pipelines to bacterial, long-read and single-cell data
Recent work extends transcript quantification and pre-processing tools to bacterial, long-read and single-cell transcriptomics data.
2 preprints · 7 published · ↑ 2.5× vs 4-wk avg
Rank 3 ML / AI methods
Structure-conditioned models advance protein design, docking, and fitness prediction
Structure-conditioned generators and few-shot predictors are now benchmarked against established baselines across design, docking, and fitness tasks.
8 preprints · 2 published · ↑ 2.4× vs 4-wk avg
Rank 4 Tools & infrastructure
Scalable algorithms with formal guarantees for hashing, pooling, and library analysis
Recent publications pair exact or collision-free algorithms with open implementations as chemical and genomic libraries grow.
1 preprint · 4 published · ↑ 2.1× vs 4-wk avg
Rank 5 Single-cell
Integrative multi-omics and network evidence are narrowing regulatory gene candidates
Multi-layer computational frameworks now combine eQTL, GWAS, and network evidence to prioritize regulatory genes in complex disease.
3 preprints · 5 published · ↑ 2.1× vs 4-wk avg
Rank 6 New association methods model regulatory, missing and multitrait structure in GWAS↑ 1.9×GenomicsRank 7 Standardized frameworks unify quantitative analysis of spatial omics across platforms↑ 2.0×TranscriptomicsRank 8 Open tools now organize omics results, biomarker panels and gene-set interpretation↑ 1.8×Tools & infrastructureRank 9 Read-based tools infer variants, haplotype sharing and repeat structure from sequencing…↑ 1.8×GenomicsRank 10 Network models tested against empirical neural recordings and individual brain data↑ 1.8×Systems biologyRank 11 MD trajectories and all-atom models resolve binding mechanisms across target classes↑ 1.7×Structural bio & protein designRank 12 Benchmarking and deep learning models for TCR-pMHC and MHC-peptide binding prediction↑ 1.6×ML / AI methodsRank 13 Compositional transforms and robust models recover protein-level information↑ 1.6×ProteomicsRank 14 Open tools for phylogenetic, pangenome graph, and circadian data analysis↑ 1.6×Tools & infrastructureRank 15 New software tools target scalable analysis of flux, metagenomic, and genomic dataTools & infrastructureRank 16 Software tools making structural and glycan data computable, comparable, and shareable↑ 1.6×Tools & infrastructureRank 17 Parallel and GPU-accelerated tools speed up sequencing and genomic data processing steps↑ 1.5×Tools & infrastructureRank 18 Atom-level active-site geometry now guides de novo enzyme scaffold designStructural bio & protein designRank 19 GANs and logic solvers generate synthetic biomedical data for training and privacyML / AI methodsRank 20 Graph-based methods resolve haplotypes from ambiguous, mixed, or low-coverage readsGenomics
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Rank 21 Physics-based models couple single-cell and spatial data across biological scalesSingle-cellRank 22 Latent and manifold embeddings of multimodal brain data for biomarkers and forecastingML / AI methodsRank 23 Deep learning maps tumor omics to biomarkers, survival, and immunotherapy responseML / AI methodsRank 24 Predicting mutations and drug response from lesion images, histology and geneticsML / AI methodsRank 25 Reliable inference for stochastic, deterministic and ODE models of biological dynamicsSystems biologyRank 26 Curated references and coverage-aware profilers refine microbiome metagenomic taxonomyTools & infrastructureRank 27 Duplication history tracks with human regulatory rewiring and miRNA network motifsGenomicsRank 28 Benchmarking variant and structural detection across sequencing platforms and assaysGenomicsRank 29 Graph and language models infer biological associations across heterogeneous dataML / AI methodsRank 30 Time-lapse single-cell imaging is being turned into quantitative phenotypic and tracking…ML / AI methodsRank 31 Mutation-level fitness and within-host dynamics inferred from pathogen surveillance dataSystems biologyRank 32 Generative and Bayesian samplers are checked against protein conformational landscapesStructural bio & protein designRank 33 Analytic models link detection and chromatin to apparent expression kineticsSystems biologyRank 34 Environment-dependent energetics and dynamics reshape protein conformations and bindingStructural bio & protein designRank 35 Telomere-to-telomere assemblies expose Y-linked and odorant receptor duplicationsGenomicsRank 36 Latent and mechanistic structure guiding multi-omic phenotype predictionSystems biologyRank 37 Explicit control of Turing patterns and perceptron thresholds in gene circuitsSystems biologyRank 38 Multiscale simulations couple valve mechanics, calcification, and atrial electromechanicsSystems biologyRank 39 Plasmids drive T6SS dissemination as genomic taxonomy schemes sharpen lineage callsGenomicsRank 40 Simplified microbial community models fail above coupling thresholdsSystems biology