Published September 12, 2013
| Version v1
Python scripts made to help predict bacterial oxygen requirements based on proteome composition
Authors/Creators
- Dan B. Jensen; Center for Biological Sequence Analysis, Department of Systems Biology, The Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
- David W. Ussery; Center for Biological Sequence Analysis, Department of Systems Biology, The Technical University of Denmark, 2800 Kgs. Lyngby, Denmark, and Current address1
- 1. Comparative Genomics Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
Description
Additional file 7 Title: Trainer Description: Calculating likelihoods from PFAM training matrices Additional file 8 Title: Predicter Description: Predicting the classes of a genome's PFAM domain profile, based on the likelihood file created by the trainer Additional file 9 Title: Evaluator Description: Evaluates the predictive performance of the predicter, calculated as Matthew's Correlation Coefficient
Notes
Please be aware that this code is not being actively developed, as it is an archive of the code as it was at the time of publication in the associated F1000Research article. For the latest version of this code, please see https://github.com/danbjensen/Oxygen_requirement_prediction
Files
Additional details
Related works
- Is cited by
- 10.12688/f1000research.2-184.v1 (DOI)