Top 40
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Single-cell
Models infer cell fate and spatial organization from single-cell and spatial omics data
Single-cell and spatial omics methods now target multiple modalities and scales, requiring models that infer cell states, lineages, and niches.
Genomics
Reference-based benchmarks now define truth for somatic and structural variant calling
Multi-platform datasets and cell-line mixtures now provide defined truth sets for low-VAF mosaic and structural variant callers.
Transcriptomics
Spatial omics benchmarking, simulation and cross-platform comparability methods
Spatial omics platforms and imaging assays differ in capture, resolution and technical bias, making standardized benchmarks and simulators necessary.
Genomics
Scalable inference methods target phylogenies, viral fitness and haplotypes
Low-coverage single-cell, long-read and large heterogeneous datasets motivate new scalable inference methods for phylogenies and viral genomes.
Tools & infrastructure
Learned and accelerated models speed sequence analysis across genomic data types
Deep learning and profile-HMM tools are reducing runtime and error in nanopore, metagenomic, and bacterial genomics workflows.