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Understanding Gene Prediction Programs

Author(s): Ellen Wisner1, Beckie Bortz2, Kirk Anders3, William Davis4, Lee Hughes5

1. University of North Carolina at Charlotte 2. University of Pittsburgh 3. Gonzaga University 4. Washington State University 5. University of North Texas

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Summary:
Introduces students to the key biological concepts underlying computational gene prediction. Outcomes include ability to analyze and evaluate output of gene prediction programs, and reflect on their engagement with big data and computational output.

Licensed under Creative Commons CC0 1.0 Universal

Version 1.0 - published on 05 Aug 2020 doi:10.25334/SAEG-TJ47 - cite this

Keywords

  1. Genome annotation
  2. SEA-PHAGES
  3. gene prediction
  4. genemark
  5. coding potential
  6. codon bias
  7. six frame translation

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    Roy Coomans @ on

    I believe there's a minor error in the slide presentation.  On slide#3, delete the T in the mRNA strand.

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      Kirk R Anders @ on

      Thanks for letting us know. The corrected slide will appear in the next version.

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