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ITScan: a web-based analysis tool for Internal Transcribed Spacer (ITS) sequences

BACKGROUND: Studies on fungal diversity and ecology aim to identify fungi and to investigate their interactions with each other and with the environment. DNA sequence-based tools are essential for these studies because they can speed up the identification process and access greater fungal diversity...

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Autores principales: Ferro, Milene, Antonio, Erik A, Souza, Wélliton, Bacci, Maurício
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4258023/
https://www.ncbi.nlm.nih.gov/pubmed/25430816
http://dx.doi.org/10.1186/1756-0500-7-857
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author Ferro, Milene
Antonio, Erik A
Souza, Wélliton
Bacci, Maurício
author_facet Ferro, Milene
Antonio, Erik A
Souza, Wélliton
Bacci, Maurício
author_sort Ferro, Milene
collection PubMed
description BACKGROUND: Studies on fungal diversity and ecology aim to identify fungi and to investigate their interactions with each other and with the environment. DNA sequence-based tools are essential for these studies because they can speed up the identification process and access greater fungal diversity than traditional methods. The nucleotide sequence encoding for the internal transcribed spacer (ITS) of the nuclear ribosomal RNA has recently been proposed as a standard marker for molecular identification of fungi and evaluation of fungal diversity. However, the analysis of large sets of ITS sequences involves many programs and steps, which makes this task intensive and laborious. FINDINGS: We developed the web-based pipeline ITScan, which automates the analysis of fungal ITS sequences generated either by Sanger or Next Generation Sequencing (NGS) platforms. Validation was performed using datasets containing ca. 2,000 to 40,000 sequences each. CONCLUSIONS: ITScan is an online and user-friendly automated pipeline for fungal diversity analysis and identification based on ITS sequences. It speeds up a process which would otherwise be repetitive and time-consuming for users. The ITScan tool and documentation are available at http://evol.rc.unesp.br:8083/itscan.
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spelling pubmed-42580232014-12-07 ITScan: a web-based analysis tool for Internal Transcribed Spacer (ITS) sequences Ferro, Milene Antonio, Erik A Souza, Wélliton Bacci, Maurício BMC Res Notes Technical Note BACKGROUND: Studies on fungal diversity and ecology aim to identify fungi and to investigate their interactions with each other and with the environment. DNA sequence-based tools are essential for these studies because they can speed up the identification process and access greater fungal diversity than traditional methods. The nucleotide sequence encoding for the internal transcribed spacer (ITS) of the nuclear ribosomal RNA has recently been proposed as a standard marker for molecular identification of fungi and evaluation of fungal diversity. However, the analysis of large sets of ITS sequences involves many programs and steps, which makes this task intensive and laborious. FINDINGS: We developed the web-based pipeline ITScan, which automates the analysis of fungal ITS sequences generated either by Sanger or Next Generation Sequencing (NGS) platforms. Validation was performed using datasets containing ca. 2,000 to 40,000 sequences each. CONCLUSIONS: ITScan is an online and user-friendly automated pipeline for fungal diversity analysis and identification based on ITS sequences. It speeds up a process which would otherwise be repetitive and time-consuming for users. The ITScan tool and documentation are available at http://evol.rc.unesp.br:8083/itscan. BioMed Central 2014-11-27 /pmc/articles/PMC4258023/ /pubmed/25430816 http://dx.doi.org/10.1186/1756-0500-7-857 Text en © Ferro et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Technical Note
Ferro, Milene
Antonio, Erik A
Souza, Wélliton
Bacci, Maurício
ITScan: a web-based analysis tool for Internal Transcribed Spacer (ITS) sequences
title ITScan: a web-based analysis tool for Internal Transcribed Spacer (ITS) sequences
title_full ITScan: a web-based analysis tool for Internal Transcribed Spacer (ITS) sequences
title_fullStr ITScan: a web-based analysis tool for Internal Transcribed Spacer (ITS) sequences
title_full_unstemmed ITScan: a web-based analysis tool for Internal Transcribed Spacer (ITS) sequences
title_short ITScan: a web-based analysis tool for Internal Transcribed Spacer (ITS) sequences
title_sort itscan: a web-based analysis tool for internal transcribed spacer (its) sequences
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4258023/
https://www.ncbi.nlm.nih.gov/pubmed/25430816
http://dx.doi.org/10.1186/1756-0500-7-857
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