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Life Sciences Commons

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Bioinformatics

Selected Works

Ray Enke Ph.D.

Bioinformatics

Publication Year

Articles 1 - 5 of 5

Full-Text Articles in Life Sciences

Saccharomyces Genome Database & Uniprot Bioinformatics Analysis, Ray A. Enke Dec 2018

Saccharomyces Genome Database & Uniprot Bioinformatics Analysis, Ray A. Enke

Ray Enke Ph.D.

This in class activity introduces basic bioinformatics analysis using the Saccharomyces Genome Database (SGD) and the UniProt Database. The yeast URA3 gene is studied in this activity, however, any other yeast gene can be substituted. This activity is designed for novice instructors and students for implementation into core biology lecture or lab courses.


Using Rstudio For Manipulating And Visualizing Data (Updated 11/17), Ray A. Enke, Bejan A. Rasoul Dec 2016

Using Rstudio For Manipulating And Visualizing Data (Updated 11/17), Ray A. Enke, Bejan A. Rasoul

Ray Enke Ph.D.

This in class exercise is designed to teach novices about the basic features of R and RStudio using a non-biological data set called Gapminder. It is a modified version of a Data Carpentry Workshop that I use to teach programming to beginners.


Genomics Rna-Seq Analysis Part 2_ Kallisto Indexing And Quantification (Updated 11/17), Ray A. Enke, Melika Rahmani-Mofrad Dec 2016

Genomics Rna-Seq Analysis Part 2_ Kallisto Indexing And Quantification (Updated 11/17), Ray A. Enke, Melika Rahmani-Mofrad

Ray Enke Ph.D.

This in class exercise is a hands on activity designed to teach students about how to run Kallisto indexing quantification using CyVerse DE apps as part of a eukaryotic RNA-seq analysis pipeline.


Genomics Rna-Seq Analysis Part 3-Sleuth Data Visualization (Updated 11/17), Ray A. Enke, Scott Schumacker Dec 2016

Genomics Rna-Seq Analysis Part 3-Sleuth Data Visualization (Updated 11/17), Ray A. Enke, Scott Schumacker

Ray Enke Ph.D.

This in class exercise is a hands on activity designed to teach students about how to run Sleuth statistical modeling and RStudio data visualization package using Kallisto pseudoalignment output files as part of a eukaryotic RNA-seq analysis pipeline.


Analysis Of Rna-Seq Alignments Using Dna Subway Green Line (Computational), Raymond A. Enke May 2016

Analysis Of Rna-Seq Alignments Using Dna Subway Green Line (Computational), Raymond A. Enke

Ray Enke Ph.D.

This class tested protocol will guide students through the steps for the following activities:
  • Review basic steps of RNA-Seq bioinformatics analysis in DNA Subway Green Line
  • View and run basic analytics of RNA-Seq data set in DNA Subway Green Line