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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