BacPP: bacterial promoter prediction -- a tool for accurate sigma-factor specific assignment in enterobacteria
type: Item
instance of: scholarly article
title: BacPP: bacterial promoter prediction -- a tool for accurate sigma-factor specific assignment in enterobacteria
zbMATH Open document ID: 1397.92246
author: Scheila de Avila e Silva
author: Sergio Echeverrigaray
author: Günther J. L. Gerhardt
published in: Journal of Theoretical Biology
publication date: 2018-09-24T00:00:00Z
Mathematics Subject Classification ID: 92C40
Mathematics Subject Classification ID: 90C29
Mathematics Subject Classification ID: 92D10
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 92-04
zbMATH DE Number: 6942867
zbMATH Keywords: neural network
zbMATH Keywords: rule extraction
zbMATH Keywords: gene expression regulation
describes a project that uses: Cell-PLoc
describes a project that uses: AFP-Pred
describes a project that uses: Quat-2L
describes a project that uses: GPCR-CA
describes a project that uses: R
describes a project that uses: EnsemblePail
describes a project that uses: WebLogo
describes a project that uses: GPCR-2L
describes a project that uses: GPCR-GIA
describes a project that uses: RegulonDB
describes a project that uses: HPAM
describes a project that uses: Plant-mPLoc
MaRDI profile type: Publication
full work available at URL: j.jtbi.2011.07.017
OpenAlex ID: W2083122216
Wikidata QID: Q51541227
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cites work: Predicting protein structural classes with pseudo amino acid composition: an approach using geometric moments of cellular automaton image
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cites work: Prediction of protein submitochondria locations based on data fusion of various features of sequences
cites work: Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach
DOI: 10.1016/J.JTBI.2011.07.017
description: scientific article; zbMATH DE number 6942867