Chan Zuckerberg Initiative (CZI)

See the following -

Broad Institute to Release Genome Analysis Toolkit 4 (GATK4) as Open Source Resource to Accelerate Research

Press Release | Broad Institute of MIT and Harvard | May 24, 2017

The Broad Institute of MIT and Harvard will release version 4 of the industry-leading Genome Analysis Toolkit under an open source software license. The software package, designated GATK4, contains new tools and rebuilt architecture. It is available currently as an alpha preview on the Broad Institute's GATK website, with a beta release expected in mid-June. Broad engineers announced the upgrade, as well as the decision to release the tool as an open source product, at Bio-IT World today...

Chan Zuckerberg Initiative Funds Pilot for Open Source/Community-Driven Bioconductor Software Platform for Human Cell Atlas

Press Release | Fred Hutch | April 27, 2018

Fred Hutch computational biologist Dr. Raphael Gottardo has received one of 85 new funding awards from the Chan Zuckerberg Initiative, or CZI, an advised fund of Silicon Valley Community Foundation, which are aimed at developing computational tools for the Human Cell Atlas, a global research effort to map every type of cell in the human body. The 85 one-year grants total $15 million in funding from the initiative and were chosen from nearly 300 applications. This set of projects, which were announced April 19, is the third set of grants CZI has awarded in support of the massive cell-mapping feat.

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White House Call to Action to the Tech Community on New Open Access Machine Readable COVID-19 Dataset

Press Release | White House | March 16, 2020

Today, researchers and leaders from the Allen Institute for AI, Chan Zuckerberg Initiative (CZI), Georgetown University's Center for Security and Emerging Technology (CSET), Microsoft, and the National Library of Medicine (NLM) at the National Institutes of Health released the COVID-19 Open Research Dataset (CORD-19) of scholarly literature about COVID-19, SARS-CoV-2, and the Coronavirus group. Requested by The White House Office of Science and Technology Policy, the dataset represents the most extensive machine-readable Coronavirus literature collection available for data and text mining to date, with over 29,000 articles, more than 13,000 of which have full text.

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