Top 40
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Single-cell
Benchmarking single-cell annotation, doublet calling and differential testing
Recent work benchmarks single-cell analysis steps against reference datasets and curated ground truth, testing annotation, doublets, and phenotype inference.
Transcriptomics
Computational methods link spatial and single-cell transcriptomes to disease biology
Donor-level snRNA-seq of over 1900 AD brains and ~6M-nucleus AD/PsychAD analyses now enable phenotype-resolved, population-scale transcriptomic inference.
Genomics
Single-cell nascent RNA methods resolve transposable element and enhancer transcription
Single-cell and allele-resolved RNA measurements now expose transient transcription, TE reactivation, and m6A-linked stability in tissues and embryos.
ML / AI methods
Graph and alignment-free methods refine sequence analysis in genomics pipelines
Recent preprints and papers offer faster, more accurate sequence-analysis pipelines for amplicon, metagenomic, pangenomic, and alignment workflows.
Single-cell
Single-cell methods couple sequence priors and perturbation atlases to infer regulation
Large perturbation resources such as Tahoe-100M now pair with single-cell readouts and sequence-derived priors for regulatory inference.