BacPP: bacterial promoter prediction -- a tool for accurate sigma-factor specific assignment in enterobacteria
DOI10.1016/J.JTBI.2011.07.017zbMath1397.92246OpenAlexW2083122216WikidataQ51541227 ScholiaQ51541227MaRDI QIDQ1786412
Scheila de Avila e Silva, Sergio Echeverrigaray, Günther J. L. Gerhardt
Publication date: 24 September 2018
Published in: Journal of Theoretical Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jtbi.2011.07.017
Multi-objective and goal programming (90C29) Learning and adaptive systems in artificial intelligence (68T05) Biochemistry, molecular biology (92C40) Genetics and epigenetics (92D10) Software, source code, etc. for problems pertaining to biology (92-04)
Related Items (2)
Uses Software
Cites Work
- Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach
- Some remarks on protein attribute prediction and pseudo amino acid composition
- Lysine acetylation sites prediction using an ensemble of support vector machine classifiers
- A hybrid promoter analysis methodology for prokaryotic genomes
- Predicting protein structural classes with pseudo amino acid composition: an approach using geometric moments of cellular automaton image
- The recognition and prediction of \(\sigma^{70}\) promoters in \textit{Escherichia coli} K-12
- Prediction of protein submitochondria locations based on data fusion of various features of sequences
- A novel approach to estimation of \(E\). \(coli\) promoter gene sequences: Combining feature selection and least square support vector machine (FS\_LSSVM)
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