Text-mining to identify gene sets involved in biocorrosion by sulfate-reducing bacteria: a semi-automated workflow

HIGHLIGHTS

• who: Payal Thakur et al. from the Department of Chemical and Biological Engineering, Dakota School of Mines and Technology, Rapid City, SD, USA Department of Biomedical Engineering, University of Dakota, Sioux Falls, SD, USA have published the paper: Text-Mining to Identify Gene Sets Involved in Biocorrosion by Sulfate-Reducing Bacteria: A Semi-Automated Workflow, in the Journal: Microorganisms 2023, 119 of 19/Nov/2022
• what: The study focuses on DvH, as DvH has been considered as a model organism to explore MIC and energy metabolism in SRB .
• how: Analysis results showed that . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.