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. Using this workflow, the team combed through more than 5,000 data sets of RNA sequences generated from diverse environmental samples around the world, resulting in a five-fold increase of RNA virus diversity. The JGI authors, who are also affiliated with the Environmental Genomics and Systems Biology (EGSB) Division, are: Simon Roux, Antonio Camargo, I. Min Chen, Natalia Ivanova, and Nikos Kyrpides. Learn more on the JGI website.