In Cell Genomics, an international consortium led by researchers at the Joint Genome Institute team generated 824 new Actinobacteria genomes, which were were combined with nearly 5,000 publicly available ones and 1,100 metagenome-assembled genomes (MAGs) reconstructed from sequenced environmental samples in a previous study.
JGI Helps Develop Computational Pipeline for RNA Virus Sequences
In the journal Cell, scientists from a team led by researchers at Tel Aviv University in Israel, the National Center for Biotechnology Information, and the DOE Joint Genome Institute (JGI) describe a computational pipeline that can specifically scan for RNA virus sequences.
Congratulations to Biosciences Area Director’s Award Recipients
Numerous Biosciences Area personnel are among the 2021 Berkeley Lab Director’s Awards honorees. This annual program recognizes outstanding contributions by employees to all facets of Lab activities. A complete list of winners can be found here. The 10th annual Director’s Awards ceremony will take place on November 18 at noon.
JGI’s CheckV Tool to Assess Virus Data Quality
Assembling viral genomes from metagenomes is challenging and often results in highly fragmented data, which limits the ability of researchers to accurately perform functional assessment, host prediction, and phylogenetic analysis. As reported in Nature Biotechnology, a team including JGI’s Stephen Nayfach, Frederik Schulz, Emiley Eloe-Fadrosh, Simon Roux and Nikos Kyrpides developed an automated tool called CheckV (pronounced “Check-Vee”) to help researchers assess and improve the quality of metagenome-assembled viral genomes. CheckV has already been applied to over 2.4 million viral genomes available in the latest release of IMG/VR, a database that is part of the Integrated Microbial Genomes & Microbiomes (IMG/M) suite. Learn more here on the JGI website.
JGI Team Describes Host-Virus Dynamics In a Microbial Mat
Previous work on microbial mats had primarily relied on culturing virus and host pairs in the laboratory to study their interactions. In The ISME Journal, a team co-led by JGI postdoctoral researcher Mária Džunková used single-cell sequencing to sequence both a cell’s genome and detect accompanying viral sequences, which would suggest the virus had been infecting the cell. Read the full story on the JGI website.
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