From liquid biopsies in Ghana to African cancer genomics in the cloud
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.
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)
This spotlight on a peer-reviewed paper about the 2021 Delta variant outbreak in Provincetown, MA highlights how the viral genomics part of the work was implemented in Terra.
A quick recap of recent Terra-related headlines: Journal appearances for Terra and the AnVIL, planned integration with Singular Genomics’ new G4 sequencer and a new release of Microsoft’s Cromwell on Azure.
Brendan Reardon, computational biologist at Dana Farber Cancer Institute, describes how the MOAlmanac algorithm and analysis portal enable a wide range of users to leverage large-scale genomics to guide individualized patient care in oncology.
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.
PANOPLY is a computational framework for applying statistical and machine learning algorithms to transform multi-omic data from cancer samples into biologically meaningful and interpretable results. In this post, D. R. Mani explains how his team is leveraging Terra to make PANOPLY accessible to a wide range of researchers.
New year, new partnership… and a new blog series focusing on highlighting papers that we think will be of interest to many of you. For this first iteration, we review a review paper (review-ception!) fresh off the virtual press over at GigaScience, coming out of C. Titus Brown’s lab at UC Davis, on the topic of workflow systems.
Terra is developed by the Broad Institute of MIT and Harvard in collaboration with Microsoft and Verily.