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- Title
Controlling for confounding variables in MS-omics protocol: why modularity matters.
- Authors
Smith, Rob; Ventura, Dan; Prince, John T.
- Abstract
As the field of bioinformatics research continues to grow, more and more novel techniques are proposed to meet new challenges and improvements upon solutions to long-standing problems. These include data processing techniques and wet lab protocol techniques. Although the literature is consistently thorough in experimental detail and variable-controlling rigor for wet lab protocol techniques, bioinformatics techniques tend to be less described and less controlled. As the validation or rejection of hypotheses rests on the experiment's ability to isolate and measure a variable of interest, we urge the importance of reducing confounding variables in bioinformatics techniques during mass spectrometry experimentation.
- Subjects
BIOINFORMATICS; NOISE control; ELECTRONIC data processing; MASS spectrometry; ALGORITHMS
- Publication
Briefings in Bioinformatics, 2014, Vol 15, Issue 5, p768
- ISSN
1467-5463
- Publication type
Article
- DOI
10.1093/bib/bbt049