The Terra team gives thanks to the thousands of researchers who use the platform and have helped make it better by providing feedback, suggestions and encouragements.
Learn to get the most out of Terra with these free online courses offered through the Leanpub learning platform.
Bringing workflows under version control to make large-scale data processing reproducible; inspired by “Ten simple rules for large-scale data processing” (Fungtammasan 2022).
This pediatric oncology study used Terra to identify germline variants contributing to Ewing sarcoma pathogenesis in 1,147 individuals with pediatric sarcoma diagnoses.
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Lead Educator Robert Majovski presents a listicle of 8 key resources that can help Terra newcomers and veterans alike get the most out of the Terra platform.
Samantha Zarate of the Schatz Lab takes us behind the scenes of the large-scale analysis that demonstrated the benefits of the new T2T-CHM13 reference genome for variant calling.
Dr. Kiran Garimella gives an overview of MAS-ISO-seq, a new method for generating a lot more data per run with long-read sequencing technologies such as PacBio, and shares a workspace that demonstrates the method's data processing.
An overview of data and analysis resources provided by the BRAIN Initiative Cell Census Network (BICCN) via the Neuroscience Multi-omic Archive (NeMO) and Terra
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Terra is developed by the Broad Institute of MIT and Harvard
in collaboration with Microsoft and Verily.
Terra is developed by the
Broad Institute of MIT and Harvard in collaboration with Microsoft and
Verily Life Sciences.
