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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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 |
_version_ |
1718418821587402752 |