Top 40
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Single-cell
Computational frameworks model single-cell perturbations, fate, and regulatory networks
Single-cell methods now target perturbation response, fate inference, and cell-type-specific network reconstruction from atlas-scale and time-resolved data.
Genomics
Benchmarks and new algorithms refine variant and copy number calling from sequencing data
Long-read, spatial, and single-cell sequencing now demand benchmarked, scalable tools for genome-scale variant and copy number analysis.
Single-cell
Spatial long-read isoform sequencing reveals cell-type-specific splicing variability
Long-read and single-cell transcriptomics now resolve isoform, cell-type, and spatial variation alongside explicit annotation and quality diagnostics.
ML / AI methods
Language model embeddings and graph networks drive biomolecular interaction prediction
Pretrained protein language model embeddings are now benchmarked directly and combined with graph architectures across interaction prediction tasks.
Transcriptomics
Transcriptomic workflows benchmarked across long-read, single-cell, spatial and circRNA…
Recent head-to-head comparisons now test commercial long-read snRNA-seq workflows and normalization strategies directly against alternatives on shared datasets.