Guest author Sam Ahuno describes his published work on African cancer genomics and shares his vision of a cloud-powered future for computational research in Africa.
This chronic lymphocytic leukemia (CLL) study used Terra to process and analyze WES, WGS, RNA-seq, RRBS, and targeted NOTCH1 sequencing data.
This spotlight on the paper describing the Telomere-to-Telomere genome reference highlights how the variant calling part of the work was implemented in Terra.
A review of data, code and tools available for reuse in Terra, inspired by “Ten simple rules for large-scale data processing” (Fungtammasan 2022)
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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.
