Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
Tools & infrastructure
Multi-omics biomarker ranking paired with null-based validation and bias correction
Recent months bring packaged R and web tools that pair multiomics feature ranking with validation machinery such as null distributions and bias correction.
3 preprints · 8 published · ↑ 3.7× vs 4-wk avg
Rank 2 Transcriptomics
Sequence models refine nanopore direct RNA basecalling and chimera removal
Sequence-model basecalling and adapter removal address read-level artifacts in nanopore direct RNA data upstream of isoform and binding analyses.
4 preprints · 7 published · ↑ 2.7× vs 4-wk avg
Rank 3 Systems biology
Mathematical and network models infer tumor microenvironment dynamics from static data
Spatial omics and simulation studies now test whether snapshot tissue data can yield dynamical and mechanistic tumor models.
5 preprints · 4 published · ↑ 2.4× vs 4-wk avg
Rank 4 Structural bio & protein design
Protein language and geometric features predict stability, affinity, and pH optima
Preprints and published papers from January 2026 pair protein language model embeddings with structural and topological features for property prediction.
10 preprints · 3 published · ↑ 2.3× vs 4-wk avg
Rank 5 ML / AI methods
Grounding biomedical LLM outputs in external curated knowledge and literature
Recent January 2026 papers test whether retrieval from curated databases and literature can make LLM biomedical outputs checkable.
2 preprints · 3 published · ↑ 2.1× vs 4-wk avg
Rank 6 Graphs and sparse attention couple biological structure with sequence representations↑ 1.9×ML / AI methodsRank 7 Computational pipelines infer bacterial gene function and host range from genomic data↑ 1.9×Tools & infrastructureRank 8 Dynamics-aware methods move protein structure assessment beyond single static models↑ 1.8×Structural bio & protein designRank 9 Diffusion and neural SDE models predict single-cell perturbation and collective dynamics↑ 1.8×Single-cellRank 10 Learned predictors are steering molecule generation and search through direct objective…↑ 1.7×Structural bio & protein designRank 11 Open deep-learning pipelines extract root, fruit and plant structure traits from images↑ 1.9×Tools & infrastructureRank 12 Software reuses reprocessed and spatial omics for PTM, lipid and metabolite analysis↑ 1.7×MetabolomicsRank 13 Reconciling platform differences in single-cell transcriptomic and chromatin data↑ 1.6×Single-cellRank 14 LLM agents orchestrate omics tools and models through multi-step, validated workflows↑ 1.8×ML / AI methodsRank 15 Viral and bacterial genomes reveal host-linked lineage divergence and recombination↑ 1.5×GenomicsRank 16 Molecular structure enters drug and omics models as architectural operations↑ 1.6×ML / AI methodsRank 17 Learned and physics-based models predict and design antibody, TCR, and peptide bindingStructural bio & protein designRank 18 Benchmarks and validation frameworks refine accuracy of variant calls across platforms↑ 1.6×GenomicsRank 19 Cancer datasets nominate context-specific oncology targets and transcriptional programsSingle-cellRank 20 Context-conditioned deep models for genomic data under distribution shift and noiseML / AI methods
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Rank 21 Cell-type-resolved transcriptomics maps shared and specific programs in brain diseaseSingle-cellRank 22 Joint modeling of latent, censored, and context-specific structure in omics dataML / AI methodsRank 23 Pretrained encodings predict peptide properties and antimicrobial resistanceML / AI methodsRank 24 Knowledge graphs and ontologies reconcile identifiers across plant, microbial, and viral…Tools & infrastructureRank 25 Computational design of robust biomolecular circuits and reaction networksSystems biologyRank 26 Bird genome assemblies expand taxonomic coverage and improve chromosome-level resolutionGenomicsRank 27 Missing contacts and temperature-dependent intervals shape transmission inferenceSystems biologyRank 28 Ligands and ionic strength reshape conformational entropy and free energy landscapesStructural bio & protein designRank 29 Deep learning links histology images to nuclear, tissue, and single-cell phenotypesML / AI methodsRank 30 Residue-level proteomic and structural resources with explicit reliability assessmentProteomicsRank 31 Benchmarking and new tools refine sequence-derived inference in genomicsTools & infrastructureRank 32 Repeats and chromatin context shape genome architecture and regulatory variationEpigenomicsRank 33 Coupling spatial transcriptomics with histology and graph structure to infer domainsTranscriptomicsRank 34 Inferring kinetic parameters from stochastic simulation and generating-function methodsSystems biologyRank 35 Single-cell atlases resolve retinal, cerebellar and hippocampal cell identitiesSingle-cellRank 36 Formal specification of admissible parameter and state regions in biochemical modelsSystems biologyRank 37 Mobile and foreign sequences generate functional genome variation across diverse speciesGenomicsRank 38 Methods refine genetic association across populations, variant classes and biomarkersGenomicsRank 39 Re-encoded FASTQ and genome collections cut storage and processing costsTools & infrastructureRank 40 Learned and structure-constrained search now designs RNA, terminators, and enzymesStructural bio & protein design