Microbial Genomics Gold Found in Old Data

There’s gold in those old databases. Analyses of genomic data often miss a large amount of information, but genome scientists at UC Davis have now created an automated analysis pipeline to dig out this hidden information. In a new study published in the journal GigaScience the researchers mine a huge marine microbial dataset from the Microbial Transcriptome Sequencing Project (MMETSP) to find new results.