Top 40
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Transcriptomics
New computational tools refine single-cell and spatial transcriptomic analysis workflows
Recent preprints introduce tools for imputation, decontamination, and cell annotation, several explicitly benchmarked against existing methods.
Single-cell
ML models predict protein palmitoylation, LLPS drivers and disease transcriptome states
Tools & infrastructure
Metagenomic tools tackle long-read errors, classification uncertainty and strain…
Nanopore and long-read metagenomes now feed dedicated assembly, classification, and genome recovery pipelines that handle error and uncertainty directly.
ML / AI methods
Protein language models adapted for binding, localization and mutational effects
Recent work applies protein and RNA language models to binding, localisation and mutation effects under limited or noisy supervision.
ML / AI methods
Graph networks fuse molecular, protein and language features for drug-target tasks
Hyperbolic, attention-based and meta-learning graph models are now applied across repurposing, affinity, toxicity and peptide prediction tasks.