The scientific and national security communities have long shared an unmet need for a tool capable of quickly and reliably distinguishing genetically modified organisms from naturally occurring ones. Over the course of a six-year program funded by the United States Intelligence Advanced Research Projects Activity (IARPA), several techniques were developed and refined. Biosciences Area researchers led testing and evaluation of these technologies, designing and producing biological samples of increasing complexity to assess how well the tools performed.
EGSB Researchers Tapped for Bridge2AI
A team headed by the Environmental Genomics and Systems Biology (EGSB) Division’s Chris Mungall, will be part of the National Institute of Health program, Bridge to Artificial Intelligence (Bridge2AI). Mungall and his colleagues will be collaborators in the Standards Core, led by the University of Colorado.
Biomedical Data Translator Consortium Reports Progress in Pair of Publications
In a pair of recently published papers, members of the Biomedical Data Translator Consortium detailed new features, functionality, and applications of the Translator system and its underlying data model, the Biolink Model.
Report from Second Plant Single-cell Solutions for Energy and the Environment Workshop Available
On April 29, 2021, Berkeley Lab hosted a second workshop to identify the most pressing barriers to wider adoption of single-cell sequencing and omics technologies, and to discuss solutions to remedy those barriers in order to drive discovery. The workshop report is now available for download.
‘Phenomics First’ Project Receives $10M to Unite Genetic Disease Data
A new project co-led by Environmental Genomics and Systems Biology Division scientist Christopher Mungall has received a $10 million five-year grant from the National Institutes of Health to establish a Center of Excellence in Genomic Science (CEGS). An international, multi-institutional collaboration, the new center will develop tools to modernize how biomedical information about genetic conditions is captured, stored, and exchanged.
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