This chronic lymphocytic leukemia (CLL) study used Terra to process and analyze WES, WGS, RNA-seq, RRBS, and targeted NOTCH1 sequencing data.
Guest author Stephen Fleming introduces CellBender, a software package for eliminating technical artifacts from high-throughput scRNA-seq and other multi-omics data.
Workspaces created before September 27, 2021 will be migrated to per-workspace Google Projects starting August 8, 2022.
Discover how the move toward cloud-based research infrastructure empowers educators to deliver practical instruction in genomics.
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Terra workspaces offer a great way to package your work and share it with others as a sort of interactive methods supplement that has the potential to significantly increase the computational reproducibility of your publications.
The cloud is the future of data sharing and collaboration. Yet to make it all work, it’s critical to provide appropriate tools and interfaces that streamline data access and analysis operations for researchers.
One of our biggest feature developments so far this year has been the addition of Galaxy, the popular open-source bioinformatics application, to Terra's interactive analysis portfolio.
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.
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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.
