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StandEnA: a customizable workflow for standardized annotation and generating a presence–absence matrix of proteins
MOTIVATION: Several genome annotation tools standardize annotation outputs for comparability. During standardization, these tools do not allow user-friendly customization of annotation databases; limiting their flexibility and applicability in downstream analysis. RESULTS: StandEnA is a user-friendl...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336186/ https://www.ncbi.nlm.nih.gov/pubmed/37448812 http://dx.doi.org/10.1093/bioadv/vbad069 |
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author | Chafra, Fatma Borim Correa, Felipe Oni, Faith Konu Karakayalı, Özlen Stadler, Peter F Nunes da Rocha, Ulisses |
author_facet | Chafra, Fatma Borim Correa, Felipe Oni, Faith Konu Karakayalı, Özlen Stadler, Peter F Nunes da Rocha, Ulisses |
author_sort | Chafra, Fatma |
collection | PubMed |
description | MOTIVATION: Several genome annotation tools standardize annotation outputs for comparability. During standardization, these tools do not allow user-friendly customization of annotation databases; limiting their flexibility and applicability in downstream analysis. RESULTS: StandEnA is a user-friendly command-line tool for Linux that facilitates the generation of custom databases by retrieving protein sequences from multiple databases. Directed by a user-defined list of standard names, StandEnA retrieves synonyms to search for corresponding sequences in a set of public databases. Custom databases are used in prokaryotic genome annotation to generate standardized presence–absence matrices and reference files containing standard database identifiers. To showcase StandEnA, we applied it to six metagenome-assembled genomes to analyze three different pathways. AVAILABILITY AND IMPLEMENTATION: StandEnA is an open-source software available at https://github.com/mdsufz/StandEnA. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online. |
format | Online Article Text |
id | pubmed-10336186 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-103361862023-07-13 StandEnA: a customizable workflow for standardized annotation and generating a presence–absence matrix of proteins Chafra, Fatma Borim Correa, Felipe Oni, Faith Konu Karakayalı, Özlen Stadler, Peter F Nunes da Rocha, Ulisses Bioinform Adv Application Note MOTIVATION: Several genome annotation tools standardize annotation outputs for comparability. During standardization, these tools do not allow user-friendly customization of annotation databases; limiting their flexibility and applicability in downstream analysis. RESULTS: StandEnA is a user-friendly command-line tool for Linux that facilitates the generation of custom databases by retrieving protein sequences from multiple databases. Directed by a user-defined list of standard names, StandEnA retrieves synonyms to search for corresponding sequences in a set of public databases. Custom databases are used in prokaryotic genome annotation to generate standardized presence–absence matrices and reference files containing standard database identifiers. To showcase StandEnA, we applied it to six metagenome-assembled genomes to analyze three different pathways. AVAILABILITY AND IMPLEMENTATION: StandEnA is an open-source software available at https://github.com/mdsufz/StandEnA. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online. Oxford University Press 2023-06-09 /pmc/articles/PMC10336186/ /pubmed/37448812 http://dx.doi.org/10.1093/bioadv/vbad069 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Application Note Chafra, Fatma Borim Correa, Felipe Oni, Faith Konu Karakayalı, Özlen Stadler, Peter F Nunes da Rocha, Ulisses StandEnA: a customizable workflow for standardized annotation and generating a presence–absence matrix of proteins |
title | StandEnA: a customizable workflow for standardized annotation and generating a presence–absence matrix of proteins |
title_full | StandEnA: a customizable workflow for standardized annotation and generating a presence–absence matrix of proteins |
title_fullStr | StandEnA: a customizable workflow for standardized annotation and generating a presence–absence matrix of proteins |
title_full_unstemmed | StandEnA: a customizable workflow for standardized annotation and generating a presence–absence matrix of proteins |
title_short | StandEnA: a customizable workflow for standardized annotation and generating a presence–absence matrix of proteins |
title_sort | standena: a customizable workflow for standardized annotation and generating a presence–absence matrix of proteins |
topic | Application Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336186/ https://www.ncbi.nlm.nih.gov/pubmed/37448812 http://dx.doi.org/10.1093/bioadv/vbad069 |
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