Have questions about or plan to submit a Letter of Intent to the DOE JGI-EMSL Collaborative Science Initiative? Now is your chance to learn more about these national scientific user facilities funded by the U.S. Department of Energy and the collaborative science capabilities they offer the global research community. The DOE Joint Genome Institute (JGI) and the Environmental Molecular Sciences Laboratory (EMSL) will host a LIVE Google+ Hangout on March 4, 2015. Letters of Intent for the DOE JGI-EMSL Collaborative Science Initiative must be submitted by April 6, 2015. Requests for full proposals will be issued by April 21, 2015.
WHAT: 2016 DOE JGI-EMSL Collaborative Science Call for Letters of Intent
WHEN: Join us at 10 a.m. PST/1 p.m. EST on Wednesday, March 4, 2015
WHERE: Watch at http://bit.ly/JGI-EMSL030415Hangout
ENGAGE: Ask questions!
- Email questions ahead of time to email@example.com
- Post them on the DOE JGI or EMSL Google+ pages
- Send them to @doe_jgi or @EMSLscience on Twitter using #DOEJGI-EMSL
During the Google+ Hangout, you’ll hear about the 2016 call, its scientific focus and how to submit a Letter of Intent from:
- Karl Mueller, EMSL interim Chief Science Officer; and,
- Axel Visel, DOE JGI Strategic Planning Lead.
Two researchers whose projects were selected during the previous DOE JGI-EMSL Collaborative Science call will also be participating:
- Colleen Hansel, an associate scientist at Woods Hole Oceanographic Institution, is having the DOE JGI sequence contaminated freshwater from lake sediments and coal mine drainage treatment systems, and then deploying EMSL’s metabolomic and proteomic analyses capabilities to identify the metabolic pathways involved in breaking down carbon in these organisms.
- Michelle O’Malley, assistant professor at UC Santa Barbara, is targeting anaerobic fungi in communities isolated from large herbivores (elephant, giraffe, goat, horse and sheep) that are involved in breaking down plant biomass. Novel isolates that possess desirable enzymatic properties are being further investigated for the construction of metabolic models to drive improvements in bioprocessing strategies.