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.
Plant Single-cell Solutions for Energy and the Environment Workshop Report Released
On January 23, 2020, Berkeley Lab hosted a workshop on opportunities afforded by single-cell technologies for energy and environmental science, as well as conceptual and technological grand challenges that must be tackled to apply these powerful approaches to plants, fungi and algae. This event, which was spearheaded by Diane Dickel in the Environmental Genomics and Systems Biology Division, brought together a diverse group of leaders in functional genomics technologies from academia, the National Laboratories, and local research institutions.
Congratulations to Biosciences Area Director’s Award Recipients
Numerous Biosciences Area personnel are among the 2020 Berkeley Lab Director’s Awards honorees. This annual program recognizes outstanding contributions by employees to all facets of Lab activities. A complete list of winners can be found here. The ninth annual Director’s Awards ceremony will take place (virtually) on November 12 at 3 PM.
Clues to COVID-19 Treatments Could Be Hiding in Existing Data – These Scientists Want to Find Them
Under a special project launched in May, a Berkeley Lab–led team of computing and bioinformatics experts is developing a platform that consolidates disparate COVID-19 data sources and uses the unified library to make predictions—about potential drug targets, for example.
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