This chronic lymphocytic leukemia (CLL) study used Terra to process and analyze WES, WGS, RNA-seq, RRBS, and targeted NOTCH1 sequencing data.
Free online training sessions covering genomics education resources, practical implementation of GWAS methodologies, and bioinformatics workflow development.
A practical methodology for elucidating the structure and function of a workflow written in the Workflow Description Language, aka WDL.
Computational biologist and GATK team member Megan Shand describes the new GATK pipeline for processing short-read WGS data produced by the Ultima Genomics technology.
Bioinformatics scientist Frank Ambrosio recounts how Terra has come to serve as a shared platform for public health labs, and to foster cross-cutting collaboration among members of the public health community
This population genetics study used Terra to identify mitochondrial variants in 56K+ whole genomes from the gnomAD database using a scalable GATK workflow.
End-to-end testing of tools and pipelines in practice and at scale; inspired by “Ten simple rules for large-scale data processing” (Fungtammasan 2022).
This prostate cancer study used Terra to process exome sequencing and single-cell RNAseq data with automated workflows.
The next generation of Terra’s workflow execution capabilities will provide support for a wider range of tools and workflow languages.
This cancer drug discovery study used Terra to process transcriptome profiling data with TOPMED RNA-Seq workflows.
Terra is developed by the Broad Institute of MIT and Harvard in collaboration with Microsoft and Verily.
