Promotech: a general tool for bacterial promoter recognition

Abstract Promoters are genomic regions where the transcription machinery binds to initiate the transcription of specific genes. Computational tools for identifying bacterial promoters have been around for decades. However, most of these tools were designed to recognize promoters in one or few bacter...

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Autores principales: Ruben Chevez-Guardado, Lourdes Peña-Castillo
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Lenguaje:EN
Publicado: BMC 2021
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Acceso en línea:https://doaj.org/article/4c25846f67f044478efda23b23a4ecaf
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spelling oai:doaj.org-article:4c25846f67f044478efda23b23a4ecaf2021-11-21T12:42:00ZPromotech: a general tool for bacterial promoter recognition10.1186/s13059-021-02514-91474-760Xhttps://doaj.org/article/4c25846f67f044478efda23b23a4ecaf2021-11-01T00:00:00Zhttps://doi.org/10.1186/s13059-021-02514-9https://doaj.org/toc/1474-760XAbstract Promoters are genomic regions where the transcription machinery binds to initiate the transcription of specific genes. Computational tools for identifying bacterial promoters have been around for decades. However, most of these tools were designed to recognize promoters in one or few bacterial species. Here, we present Promotech, a machine-learning-based method for promoter recognition in a wide range of bacterial species. We compare Promotech’s performance with the performance of five other promoter prediction methods. Promotech outperforms these other programs in terms of area under the precision-recall curve (AUPRC) or precision at the same level of recall. Promotech is available at https://github.com/BioinformaticsLabAtMUN/PromoTech .Ruben Chevez-GuardadoLourdes Peña-CastilloBMCarticleBacterial promoterPromoter recognitionPromoter predictionMachine learningMicrobiologyBioinformaticsBiology (General)QH301-705.5GeneticsQH426-470ENGenome Biology, Vol 22, Iss 1, Pp 1-16 (2021)
institution DOAJ
collection DOAJ
language EN
topic Bacterial promoter
Promoter recognition
Promoter prediction
Machine learning
Microbiology
Bioinformatics
Biology (General)
QH301-705.5
Genetics
QH426-470
spellingShingle Bacterial promoter
Promoter recognition
Promoter prediction
Machine learning
Microbiology
Bioinformatics
Biology (General)
QH301-705.5
Genetics
QH426-470
Ruben Chevez-Guardado
Lourdes Peña-Castillo
Promotech: a general tool for bacterial promoter recognition
description Abstract Promoters are genomic regions where the transcription machinery binds to initiate the transcription of specific genes. Computational tools for identifying bacterial promoters have been around for decades. However, most of these tools were designed to recognize promoters in one or few bacterial species. Here, we present Promotech, a machine-learning-based method for promoter recognition in a wide range of bacterial species. We compare Promotech’s performance with the performance of five other promoter prediction methods. Promotech outperforms these other programs in terms of area under the precision-recall curve (AUPRC) or precision at the same level of recall. Promotech is available at https://github.com/BioinformaticsLabAtMUN/PromoTech .
format article
author Ruben Chevez-Guardado
Lourdes Peña-Castillo
author_facet Ruben Chevez-Guardado
Lourdes Peña-Castillo
author_sort Ruben Chevez-Guardado
title Promotech: a general tool for bacterial promoter recognition
title_short Promotech: a general tool for bacterial promoter recognition
title_full Promotech: a general tool for bacterial promoter recognition
title_fullStr Promotech: a general tool for bacterial promoter recognition
title_full_unstemmed Promotech: a general tool for bacterial promoter recognition
title_sort promotech: a general tool for bacterial promoter recognition
publisher BMC
publishDate 2021
url https://doaj.org/article/4c25846f67f044478efda23b23a4ecaf
work_keys_str_mv AT rubenchevezguardado promotechageneraltoolforbacterialpromoterrecognition
AT lourdespenacastillo promotechageneraltoolforbacterialpromoterrecognition
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