Results
… Scattering (BioSANS) instrument when applying to the FY2022 EMSL-JGI FICUS call for proposals. Presentations …
Learn more
… shared their experiences below. Name: Noelle Anderson Class Year: At the time of the internship, 4th year PhD student in Quantitative and Systems Biology Mentor: … even know existed before. Name: Deepika Gunasekaran Class Year: 2nd year graduate student in Quantitative and Systems …
Learn more
… (VEGA) Symposium , which will take place later this year in Berkeley, Calif. Convening the “viral ecogenomics” …
Learn more
… Microscale Applications group. Before joining the JGI in 2010, he made the first ever measurements of in situ growth … approach for isolating individual bacterial cells and amplifying their genetic material, thus bypassing the need to … 2016. Visualizing in situ translational activity for identifying and sorting slow-growing archaeal− bacterial …
Learn more
… The work (proposal: 10.46936/10.25585/60008105, WIP proposal ID: 508017, Myburg, Wegrzyn, Borevitz) …
Learn more
… analysis, creation of large metabolite databases by running 1000s of metabolite standards, and development of … analysis pipelines. Beyond profiling over 10k samples/year, Dr. Louie and her team work with other JGI scientists … to assess metabolite turnover, DNA-SIP for helping identify active micro-organisms within complex communities, and …
Learn more
… (APS) at Argonne National Laboratory when applying to the FY2024 EMSL-JGI FICUS collaborative proposal call . Letters …
Learn more
… in March 2027 at the Oakland Convention Center. Check this page as further details become available. Sign up for our …
Learn more
… Dr. Visel joined the DOE Joint Genome Institute in 2010. As the Deputy for Science Programs, he focuses on the … C, Xu J, Northen T, Visel A , Bristow J, Niyogi KK, Wei CL (2015). Lineage-specific chromatin signatures reveal a … of lipid metabolism in microalgae . Nature Plants 1: 15107 Lupiáñez DG, Kraft K, Heinrich V, Krawitz P, Brancati F, …
Learn more
… genomics and phylogenomics) and machine learning to identify new divergent lineages and expand the Tree of Life. We … Developing rapid and accurate methods for identifying potential biological threats in environmental samples: … A specialized tool for identifying, extracting, and assembling rRNA genes from …
Learn more

