Resources
The Diaz Lab develops open-source software and data resources for single-cell genomics, lineage tracing, clonal evolution, and brain-tumor analysis. Resources are organized below by scientific use. Availability and access restrictions vary by dataset; controlled human genomic data are distributed through approved repositories and data-use processes.
- SPICE: Algorithms and code for analysis of single-cell lineage-tracing data, including estimators of cellular plasticity and clonal dynamics.
- CONICS: Integrates single-cell RNA sequencing with DNA sequencing to map gene expression and cellular phenotype to tumor subclones.
- ELSA: Ensemble learning for classifying single-cell data and projection across reference atlases.
- SCell: Integrated analysis of single-cell RNA-sequencing data.
- HiTSelect: Analysis of high-complexity pooled CRISPR and shRNA screens.
- CHANCE (legacy): Quality control and validation for ChIP-seq data.