Topic
Computational Skills
Framing Question
What higher-level computational skills can be used in bioinformatics research?
Learning Objectives
- Use a spreadsheet to perform simple data analysis.
- Use a spreadsheet to open, read, parse, modify and output comma-separate (.csv) files that will be ready to use in subsequent tools.
- Perform elementary statistical analysis on an “omics” dataset (e.g. using Excel or Weka).
- Perform Input/Output with data files.
- Interact with remote servers.
- Construct a bioinformatics pipeline.
- Use open source libraries and packages (e.g., BioPerl, Biopython, R, BioConductor).
- Use programs at the Unix/Linux command line to analyze bioinformatics data.
- Use graph theory to represent data networks.
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- Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching
