Methodology article
MIPHENO: data normalization for high throughput metabolite analysis
-
* Corresponding author: Robert L Last lastr@msu.edu
1 Quantitative Biology Program, Michigan State University, East Lansing, MI, USA
2 Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, USA
3 National Health and Environmental Effects Research Laboratory, Biostatistics and Bioinformatics Research Core, United States Environmental Protection Agency, Research Triangle Park, NC, USA
4 Department of Plant Biology, Michigan State University, East Lansing, MI, USA
BMC Bioinformatics 2012, 13:10 doi:10.1186/1471-2105-13-10
Published: 13 January 2012Additional files
Additional file 1:
This file contains two folders (Code and Data) along with a README file with a brief description of the contents in each folder as well as instructions for execution of code. The 'Data' folder contains six files representing all the data used in the biological analyses presented, including the Aracyc and Gene Ontology files. The 'Code' folder contains three files representing all the code used to carry out the analyses as well as a Sweave file (MIPHENO.pdf) which illustrates how to carry out the analysis on the Chloroplast 2010 dataset presented in the manuscript.
Format: ZIP Size: 9.2MB Download file
