Learn about Large data handling, access to full flat files, APIs, scripting, programming access using R and Python
Use flat files, APIs to explore thousands of deeply-curated omics datasets
1. Disease-focused datasets for disease and normal tissue, ready to use to identify biomarkers
2. Oncology-focused datasets, including TCGA, CCLE, TARGET, and thousands of GEO studies
3. Single cell transcriptomic datasets with full curation of project, sample, cluster, and cell data
Websites, videos, documents on DiseaseLand
Use scripting methods to submit analyses directly to OmicSoft Server for in-depth omics analysis
1. Analysis pipelines for RNA-seq, microarray, RT-PCR, differential expression and more