A cost-free CURE: using bioinformatics to identify DNA-binding factors at a specific genomic locus.

Casey A Schmidt, Lauren J Hodkinson, H Skye Comstra, Samia Khan, Henrik Torres, Leila E Rieder
Author Information
  1. Casey A Schmidt: Department of Biology, Emory University, Atlanta, Georgia, USA. ORCID
  2. Lauren J Hodkinson: Graduate Program in Genetics and Molecular Biology, Emory University, Atlanta, Georgia, USA.
  3. H Skye Comstra: Department of Biology, Emory University, Atlanta, Georgia, USA.
  4. Samia Khan: Department of Biology, Emory University, Atlanta, Georgia, USA.
  5. Henrik Torres: Choate Rosemary Hall, Wallingford, Connecticut, USA.
  6. Leila E Rieder: Department of Biology, Emory University, Atlanta, Georgia, USA. ORCID

Abstract

Research experiences provide diverse benefits for undergraduates. Many academic institutions have adopted course-based undergraduate research experiences (CUREs) to improve student access to research opportunities. However, potential instructors of a CURE might still face financial or practical hurdles that prevent implementation. Bioinformatics research offers an alternative that is free, safe, compatible with remote learning, and may be more accessible for students with disabilities. Here, we describe a bioinformatics CURE that leverages publicly available datasets to discover novel proteins that target an instructor-determined genomic locus of interest. We use the free, user-friendly bioinformatics platform Galaxy to map ChIP-seq datasets to a genome, which removes the computing burden from students. Both faculty and students directly benefit from this CURE, as faculty can perform candidate screens and publish CURE results. Students gain not only basic bioinformatics knowledge, but also transferable skills, including scientific communication, database navigation, and primary literature experience. The CURE is flexible and can be expanded to analyze different types of high-throughput data or to investigate different genomic loci in any species.

Keywords

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Grants

  1. R35 GM142724/NIGMS NIH HHS
  2. K12 GM000680/NIGMS NIH HHS
  3. R00 HD092625/NICHD NIH HHS
  4. F32 GM140778/NIGMS NIH HHS
  5. T32 GM008490/NIGMS NIH HHS
  6. F31 HD105452/NICHD NIH HHS

Word Cloud

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