Top 40
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Single-cell
Computational methods are standardizing single-cell and spatial transcriptomics analysis
Recent benchmarks of 29 RNA velocity algorithms and of preprocessing and integration methods test single-cell tools on standardized datasets.
Epigenomics
Multimodal models fuse chromatin, methylation and variant features for genomic inference
Functional annotations from single-cell, single-molecule and population data are now being combined directly in variant and methylation models.
Tools & infrastructure
Containerized pipelines automate chromosome-scale assembly from HiFi and Hi-C reads
Reference-aware tools for assembly, contamination removal, and bacterial genome clustering are now published as containerized, reproducible software.
Single-cell
Learned models of cell state for dynamics, regulatory networks and atlas integration
Atlas-scale data, including 28.5M healthy cells and a 100-million-cell integration target, motivate learned models of cellular state.
ML / AI methods
Adapting and benchmarking language models against curated biomedical ground truth
Open fine-tuning pipelines and curated annotated corpora now allow LLM performance to be tested against explicit biomedical references.