TrendBio

BACKFILLED Code and industry signals are partial for backfilled days.

Rank 1

Single-cell

Generative and graph models predict cellular responses to gene perturbation

Recent preprints apply diffusion, graph, and transformer models to forecast single-cell perturbation responses across cellular contexts and perturbation types.

8 preprints · ↑ 2.9× vs 4-wk avg
Rank 2

Genomics

Long-read tools quantify mosaic and repeat-locus variation across sequencing platforms

Recent preprints model repeat interruptions, platform differences and somatic mosaicism explicitly in long-read and nanopore variant quantification.

8 preprints · ↑ 2.3× vs 4-wk avg
Rank 3

Epigenomics

Reference annotation becomes a variable in isoform-level genetic and expression analysis

Long-read transcript assemblies and reference-agnostic annotation now make isoform choice an explicit variable in quantification and genetic inference.

4 preprints · 3 published · ↑ 2.0× vs 4-wk avg
Rank 4

ML / AI methods

Learned models score sequence-function effects across RNA, protein and variant data

Fair-split benchmarks and new curated datasets are testing whether sequence-based predictors generalize beyond their training distributions.

5 preprints · 7 published · ↑ 1.9× vs 4-wk avg
Rank 5

Genomics

Pangenomes and haplotype maps link structural and deleterious variation to crop traits

High-contiguity assemblies and pangenome-scale variation now support trait-linked functional inference across crop species.

2 preprints · 1 published · ↑ 2.0× vs 4-wk avg
Rank 6 Multimodal fusion of omics, structural, and histology inputs for biological prediction↑ 1.9×ML / AI methodsRank 7 Alignment-free and reference-free tools for bacterial typing, indexing and quality control↑ 1.9×Tools & infrastructureRank 8 Benchmarking structure prediction and dynamics inputs for structure-based design↑ 1.7×Structural bio & protein designRank 9 Sequence language models extended to mRNA design, stability, binding and decay↑ 1.8×ML / AI methodsRank 10 Testing whether biological model uncertainty stays calibrated under data shift and noise↑ 1.5×ML / AI methodsRank 11 Genome-scale metabolic modeling pairs machine learning with faster flux consistency…↑ 1.6×Systems biologyRank 12 DNA language models are applied to viral, phage, and microbiome sequence prediction↑ 1.5×ML / AI methodsRank 13 Pretrained protein language model embeddings combined with graph or topological contextStructural bio & protein designRank 14 Structure-aware models map virus-host protein interfaces and their evolutionary dynamics↑ 1.6×ML / AI methodsRank 15 Metagenomics recovers novel microbial and viral genomes from soil and mudflat habitatsGenomicsRank 16 Desulfovibrio genomes link flagellin, urease and H2S traits to inflammatory diseaseGenomicsRank 17 Computational models of RNA and RNA-binding states under force and sparse restraintsStructural bio & protein designRank 18 Graph and nonlinear models infer gene perturbation effects and causal gene linksSystems biologyRank 19 Variant effect predictor disagreement and MAVE evidence shape rare variant inferenceGenomicsRank 20 Contrastive sequence models target protein function, peptide binding and gene linksML / AI methods
Show 18 more
Rank 21 Genotype and knowledge-graph frameworks link variants to genes, pathways, and drugsGenomicsRank 22 Computational extraction of methylation states and motifs from sequencing readsEpigenomicsRank 23 Reduced-resolution and refitted force fields extend DNA, RNA and peptide simulationStructural bio & protein designRank 24 Pretrained generators and RL post-training shape biological sequence designML / AI methodsRank 25 Computational recovery of expression from sparse single-cell and bulk transcriptomic dataSingle-cellRank 26 Sequence and signal parsing tools accelerate raw genomic data handlingGenomicsRank 27 Frameworks link spatial, single-cell and imaging data to quantify cell-level programsSingle-cellRank 28 Proteome-scale state profiling across drug combinations, benchmarks and fragmentationProteomicsRank 29 Branched transport infers brain stimulus-to-reaction routing mapsSystems biologyRank 30 Cell-type-resolved brain regulatory and structural variant effects on gene expressionGenomicsRank 31 Molecular profiling defines disease-associated signatures in neurodegenerative conditionsProteomicsRank 32 Recurrent CA3 dynamics may yield both place and time cell representationsSystems biologyRank 33 Linking molecular synapse structure and field stimulation to neural state dynamicsSystems biologyRank 34 Single-cell expression variance reveals circadian desynchrony in the Alzheimer's human…Single-cellRank 35 Model-free and mutational metrics assess protein structural ensemble dynamicsStructural bio & protein designRank 36 AI and computational pipelines designing binders and guides under competing constraintsStructural bio & protein designRank 37 Ensemble polymer models capture chromatin and disordered protein conformational statesEpigenomicsRank 38 T2T genomes reveal H3K9me3 evasion and CTCF invasion by transposable elementsEpigenomics

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