DOE Performance Metrics
Every year BER’s Biological Systems Science Division (BSSD) reports on various aspects of its basic science mission as part of DOE’s performance management process. Listed below are several reports offered by year from various BSSD-funded projects highlighting recent basic research results relevant towards achieving BER’s long-term performance goals. Individual projects charged with completing these tasks produce quarterly reports on the requested topic that show progress toward the targeted goal for that year and ultimately toward the Overall Goal for BSSD.
Overall Goal: BER Predictive Understanding
Advance an iterative systems biology approach to the understanding and manipulation of plant and microbial genomes as a basis for biofuels development and predictive knowledge of carbon and nutrient cycling in the environment.
|Year||Project and Goal||Quarterly Reports||Project Website|
|2023||PNNL Secure Biosystems Design SFA: Develop genomic approaches to securely design organisms with targeted beneficial functions for bioenergy and bioeconomy applications.
|2022||LBNL ENIGMA SFA: Develop new technologies for assessing microbial ecological processes in environmental samples.||https://enigma.lbl.gov/performance-metrics-reports/|
|2021||LLNL Microbes Persist Soil Microbiome SFA: Develop new omics-based techniques to understand microbiome function in environmental samples.||Q1 Report|
|2020||ORNL Center for Bioenergy Innovation (CBI): Report on genomic science-based advances and testing of new plant feedstocks for bioenergy purposes.|
|2019||LANL Terrestrial Microbial Carbon Cycling SFA: Develop metagenomics approaches to assess the functioning of microbial communities in the environment. (See DOE Performance Metrics tab.)||https://www.lanl.gov/science-innovation/science-programs/office-of-science-programs/biological-environmental-research/sfa-microbial-carbon.php|
|2018||ORNL Plant-Microbe Interfaces SFA: Using genomics-based techniques, develop an approach to explore the functioning of plant-microbe interactions.|
|2017||DOE Systems Biology Knowledgebase (KBase): Develop improved open access platforms for computational analysis of large genomic datasets.||Q1 Report|
|2016||Joint BioEnergy Institute (JBEI): Develop an improved metabolic engineering method for modifying microorganisms for biofuel production from cellulosic sugars.||https://www.jbei.org/research/doe-metrics-2015-2016-metabolic-engineering/|
|2015||DOE Joint Genome Institute (JGI): Develop one new computationally enabled approach to analyze complex genomic datasets.|