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Python Scripts Made To Help Predict Bacterial Oxygen Requirements Based On Proteome Composition

Name: Python Scripts Made To Help Predict Bacterial Oxygen Requirements Based On Proteome Composition
Keywords: 3. Good health

descriptionPublicationkeyboard_double_arrow_right Report , Other literature type 12 Sep 2013Publisher:Zenodo

Authors: David W. Ussery; Current address; Dan Børge Jensen;

doi: 10.5281/zenodo.7099

Python Scripts Made To Help Predict Bacterial Oxygen Requirements Based On Proteome Composition

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Abstract

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

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

Related Organizations

Oak Ridge National Laboratory
United States

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