Genomic Science Program
U.S. Department of Energy | Office of Science | Biological and Environmental Research Program

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.

YearProject and GoalQuarterly ReportsProject Website
2024

The National Microbiome Data Collaborative: Approaches to assemble a centralized microbiome data collection to understand the functioning of microbiomes relevant to BER’s bioenergy and environmental research goals.

  • Q1: Describe the overall background, strategy, and challenges to developing an online, open access microbiome data collection for the research community.
  • Q2: Describe the mechanisms developed to engage the broader community to assist in the development of a community-based resource for microbiome research.
  • Q3: Report on the strategy to engage with other entities for access to data resources and/or modeling efforts for microbiome research. 
  • Q4: Provide an update on the latest capabilities developed within the NMDC for providing a unique data resource to the larger microbiome research community.
Q1: Reporthttps://microbiomedata.org
2023PNNL Secure Biosystems Design SFA: Develop genomic approaches to securely design organisms with targeted beneficial functions for bioenergy and bioeconomy applications.
  • Q1: Describe overall approaches to securely designing new functions into organisms for bioenergy and bioeconomy applications.
  • Q2: Report on progress towards designing new secure functions into specific microbial isolates in the laboratory.
  • Q3: Provide a summary of methods used to characterize and test modified microorganisms for secure use.
  • Q4: Report on capabilities that could accelerate the design and testing of microbial isolates with new beneficial functions.

Q1: Report

Q2: Report

Q3: Report

Q4: Report
2023 Summary

2022LBNL ENIGMA SFA: Develop new technologies for assessing microbial ecological processes in environmental samples.

Q1 Report
Q2 Report
Q3 Report
Q4 Report
2022 Summary

 https://enigma.lbl.gov/performance-metrics-reports/
2021LLNL Microbes Persist Soil Microbiome SFA:  Develop new omics-based techniques to understand microbiome function in environmental samples.Q1 Report
Q2 Report
Q3 Report
Q4 Report
2021 Summary
https://sc-programs.llnl.gov/biological-and-environmental-research-at-llnl/soil-microbiome#reports
2020ORNL Center for Bioenergy Innovation (CBI):  Report on genomic science-based advances and testing of new plant feedstocks for bioenergy purposes.

Q1 Report
Q2 Report

Q3 Report

Q4 Report

2020 Summary

https://cbi.ornl.gov/index.php/metrics
2019LANL Terrestrial Microbial Carbon Cycling SFA: Develop metagenomics approaches to assess the functioning of microbial communities in the environment. (See DOE Performance Metrics tab.)
2018ORNL Plant-Microbe Interfaces SFA: Using genomics-based techniques, develop an approach to explore the functioning of plant-microbe interactions.

Q1 Report
Q2 Report
Q3 Report

Q4 Report
2018 Summary

 https://pmiweb.ornl.gov/doe-performance-metrics-fy2018-plant-microbe-interfaces/
2017DOE Systems Biology Knowledgebase (KBase):  Develop improved open access platforms for computational analysis of large genomic datasets.Q1 Report
Q2 Report
Q3 Report
Q4 Report
2017 Summary
https://www.kbase.us/performance-metric-report-2017/
2016Joint BioEnergy Institute (JBEI):  Develop an improved metabolic engineering method for modifying microorganisms for biofuel production from cellulosic sugars.

Q1  Report
Q2  Report
Q3 Report
Q4 Report
2016 Report

https://www.jbei.org/research/doe-metrics-2015-2016-metabolic-engineering/
2015DOE Joint Genome Institute (JGI):  Develop one new computationally enabled approach to analyze complex genomic datasets.

Q1 Report

Q2 Report

Q3 Report

Q4 Report

2015 Summary

https://jgi.doe.gov/our-projects/statistics/