Joint Genome Institute ( Joint Genome Institute)

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About Joint Genome Institute

The mission of the U.S. Department of Energy Joint Genome Institute (DOE JGI) is to advance genomics in support of the DOE missions related to clean energy generation and environmental characterization and cleanup. Supported by the DOE Office of Science, the DOE JGI unites the expertise at Lawrence Berkeley National Laboratory, Lawrence Livermore National Laboratory, and the HudsonAlpha Institute for Biotechnology. Located in Walnut Creek, California, the DOE JGI is operated by the University of California for the U.S. Department of Energy and the facility provides integrated high-throughput sequencing and computational analysis that enable systems-based scientific approaches to these challenges.

Joint Genome Institute press release, blog etc

Fri, 06/17/2022 - 12:42 Streamlining Regulon Identification in Bacteria
Tue, 03/15/2022 - 18:04 In March 2008, the genome sequence of the forest fungus Laccaria bicolor was
Thu, 02/03/2022 - 17:20 From Intern to Published Scientist: The Journey of a JGI-UC Merced Intern
Thu, 11/25/2021 - 07:06 Enlarging Windows into Understanding Gene Functions
Mon, 11/15/2021 - 23:04 JGI Part of Berkeley Lab Team Awarded Best Use of HPC in Life Sciences
Fri, 10/22/2021 - 07:28 When The Blob Made It Hotter Under the Water
Mon, 10/04/2021 - 05:54 Anuvia taps JGI for expertise to pinpoint products from beneficial soil microbes
Fri, 09/24/2021 - 10:36 Monitoring Inter-Organism Interactions Within Ecosystems
Wed, 09/22/2021 - 10:16 Plotting a Model for Virus-Host Warfare Deep Below Ground
Thu, 08/26/2021 - 17:04 Virus-Microbe Interactions of Mud Island Mangroves
Fri, 08/13/2021 - 07:14 Marine Microbe Contains Multitudes
Sun, 08/08/2021 - 22:50 A User-Centered Approach to Accessing JGI Data
Mon, 08/02/2021 - 10:11 At Your Service: JGI Synthesizes DNA for You
Fri, 06/25/2021 - 09:50 A Natural Mechanism Can Turbocharge Viral Evolution
Thu, 06/03/2021 - 08:34 Refining the Process of Identifying Algae Biotechnology Candidates
Wed, 04/21/2021 - 01:23 Behind the Paper: Hot Springs Metagenomics
Tue, 07/21/2020 - 04:47 Machine learning methods were applied on sequenced fungal genomes, generated in part through the 1000 Fungal Genomes Project, to classify them by lifestyles.
Fri, 05/08/2020 - 02:58 Toward More Efficient Artificial Photosynthesis