Your browser doesn't support javascript.
loading
Genome-wide Profiling of Transcription Factor-DNA Binding Interactions in Candida albicans: A Comprehensive CUT&RUN Method and Data Analysis Workflow.
Qasim, Mohammad N; Valle Arevalo, Ashley; Paropkari, Akshay D; Ennis, Craig L; Sindi, Suzanne S; Nobile, Clarissa J; Hernday, Aaron D.
Affiliation
  • Qasim MN; Department of Molecular and Cell Biology, University of California, Merced; Quantitative and Systems Biology Graduate Program, University of California, Merced.
  • Valle Arevalo A; Department of Molecular and Cell Biology, University of California, Merced; Quantitative and Systems Biology Graduate Program, University of California, Merced.
  • Paropkari AD; Department of Molecular and Cell Biology, University of California, Merced; Quantitative and Systems Biology Graduate Program, University of California, Merced.
  • Ennis CL; Department of Molecular and Cell Biology, University of California, Merced; Quantitative and Systems Biology Graduate Program, University of California, Merced; Health Sciences Research Institute, University of California, Merced.
  • Sindi SS; Department of Applied Mathematics, University of California, Merced.
  • Nobile CJ; Department of Molecular and Cell Biology, University of California, Merced; Health Sciences Research Institute, University of California, Merced; cnobile@ucmerced.edu.
  • Hernday AD; Department of Molecular and Cell Biology, University of California, Merced; Health Sciences Research Institute, University of California, Merced; ahernday@ucmerced.edu.
J Vis Exp ; (182)2022 04 01.
Article in En | MEDLINE | ID: mdl-35435920
Subject(s)
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Transcription Factors / Candida albicans Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Vis Exp Year: 2022 Type: Article
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Transcription Factors / Candida albicans Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Vis Exp Year: 2022 Type: Article