Researchers studying cyanobacteria in Yellowstone National Park encountered surprises, adopted new technologies, and made a few discoveries about the microbial mat denizens.
During the JGI Engagement: Pro Tips for Webinar, researchers were invited to submit white papers to the Community Science Program’s New Investigator call for proposals. The proposal call is open year-round, but proposals submitted by September 21, 2020, will be included in the next review.
Scientists have used sequencing methods to comprehensively characterize viral-host interactions in a microbial mat for the first time.
Crop breeders have harnessed polyploidy to increase fruit and flower size, and confer stress tolerance traits. Researchers relied on a model grass system and pan-genomes to learn the origins, evolution and development of plant polyploids.
Light-harvesting bacteria (phototrophs) in Antarctica’s Ace Lake defy the norm when it comes to nutrient cycling in polar regions.
A mini-episode looking at the efforts of Pankaj Trivedi, whose New Investigator proposal was recently approved through the JGI Community Science Program, to use microbiome science to help plants cope with drought conditions.
Scientists have developed a more nuanced library approach for fine-tuning gene expression in metabolic pathways in metabolic pathways.
On July 30, UC Merced students and their JGI mentors marked the end of their annual nine-week virtual internships. The celebration was preceded by short final presentations attended by more than 75 JGI staff. According to Axel Visel and Zhong Wang, founders of the JGI-UC Merced genomics internship program, this was the largest turnout for the final presentations to date.
JGI scientist Volkan Sevim is applying deep learning to genome science in order to make protein alignments more efficient.
As a proof of concept, researchers developed an algorithm that “taught” a computer how to classify 101 representative genomes of Dothideomycetes, the largest class of fungi, by lifestyles.