Introduction Data access for researchers is critical to modern scientific endeavors. But new data access requests are hampered by an often cumbersome
Posted by: Carmen Diaz Verdugo Authors: Carmen Diaz Verdugo, Stephen Fleming, Nicole Deflaux and Amy Unruh Carmen Diaz Verdugo is a Computational
Erdal Cosgun-co author of this blog- is the Lead Data Scientist in the Microsoft Genomics Team and working on the Interactive Analysis
Tim Looney and Vanesa Braunstein are co-authors of this blog. Tim Looney is the Senior Director of Scientific Affairs at Singular Genomics.
Subscribe to our blog
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.
We’d love to feature your story
Contact us at info@terra.bio
To see all blog posts, visit our
Archive page
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.
