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TAAPP: Tiling Array Analysis Pipeline for Prokaryotes

High-density tiling arrays provide closer view of transcription than regular microarrays and can also be used for annotating functional elements in genomes. The identified transcripts usually have a complex overlapping architecture when compared to the existing genome annotation. Therefore, there is...

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Detalles Bibliográficos
Autores principales: Kumar, Ranjit, Burgess, Shane C., Lawrence, Mark L., Nanduri, Bindu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054164/
https://www.ncbi.nlm.nih.gov/pubmed/21641563
http://dx.doi.org/10.1016/S1672-0229(11)60008-9
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author Kumar, Ranjit
Burgess, Shane C.
Lawrence, Mark L.
Nanduri, Bindu
author_facet Kumar, Ranjit
Burgess, Shane C.
Lawrence, Mark L.
Nanduri, Bindu
author_sort Kumar, Ranjit
collection PubMed
description High-density tiling arrays provide closer view of transcription than regular microarrays and can also be used for annotating functional elements in genomes. The identified transcripts usually have a complex overlapping architecture when compared to the existing genome annotation. Therefore, there is a need for customized tiling array data analysis tools. Since most of the initial tiling arrays were conducted in eukaryotes, data analysis methods are well suited for eukaryotic genomes. For using whole-genome tiling arrays to identify previously unknown transcriptional elements like small RNA and antisense RNA in prokaryotes, existing data analysis tools need to be tailored for prokaryotic genome architecture. Furthermore, automation of such custom data analysis workflow is necessary for biologists to apply this powerful platform for knowledge discovery. Here we describe TAAPP, a web-based package that consists of two modules for prokaryotic tiling array data analysis. The transcript generation module works on normalized data to generate transcriptionally active regions (TARs). The feature extraction and annotation module then maps TARs to existing genome annotation. This module further categorizes the transcription profile into potential novel non-coding RNA, antisense RNA, gene expression and operon structures. The implemented workflow is microarray platform independent and is presented as a web-based service. The web interface is freely available for acedemic use at http://lims.lsbi.mafes.msstate.edu/TAAPP-HTML/.
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spelling pubmed-50541642016-10-14 TAAPP: Tiling Array Analysis Pipeline for Prokaryotes Kumar, Ranjit Burgess, Shane C. Lawrence, Mark L. Nanduri, Bindu Genomics Proteomics Bioinformatics Application Note High-density tiling arrays provide closer view of transcription than regular microarrays and can also be used for annotating functional elements in genomes. The identified transcripts usually have a complex overlapping architecture when compared to the existing genome annotation. Therefore, there is a need for customized tiling array data analysis tools. Since most of the initial tiling arrays were conducted in eukaryotes, data analysis methods are well suited for eukaryotic genomes. For using whole-genome tiling arrays to identify previously unknown transcriptional elements like small RNA and antisense RNA in prokaryotes, existing data analysis tools need to be tailored for prokaryotic genome architecture. Furthermore, automation of such custom data analysis workflow is necessary for biologists to apply this powerful platform for knowledge discovery. Here we describe TAAPP, a web-based package that consists of two modules for prokaryotic tiling array data analysis. The transcript generation module works on normalized data to generate transcriptionally active regions (TARs). The feature extraction and annotation module then maps TARs to existing genome annotation. This module further categorizes the transcription profile into potential novel non-coding RNA, antisense RNA, gene expression and operon structures. The implemented workflow is microarray platform independent and is presented as a web-based service. The web interface is freely available for acedemic use at http://lims.lsbi.mafes.msstate.edu/TAAPP-HTML/. Elsevier 2011-04 2011-06-07 /pmc/articles/PMC5054164/ /pubmed/21641563 http://dx.doi.org/10.1016/S1672-0229(11)60008-9 Text en © 2011 Beijing Institute of Genomics http://creativecommons.org/licenses/by-nc-sa/3.0/ This is an open access article under the CC BY-NC-SA license (http://creativecommons.org/licenses/by-nc-sa/3.0/).
spellingShingle Application Note
Kumar, Ranjit
Burgess, Shane C.
Lawrence, Mark L.
Nanduri, Bindu
TAAPP: Tiling Array Analysis Pipeline for Prokaryotes
title TAAPP: Tiling Array Analysis Pipeline for Prokaryotes
title_full TAAPP: Tiling Array Analysis Pipeline for Prokaryotes
title_fullStr TAAPP: Tiling Array Analysis Pipeline for Prokaryotes
title_full_unstemmed TAAPP: Tiling Array Analysis Pipeline for Prokaryotes
title_short TAAPP: Tiling Array Analysis Pipeline for Prokaryotes
title_sort taapp: tiling array analysis pipeline for prokaryotes
topic Application Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054164/
https://www.ncbi.nlm.nih.gov/pubmed/21641563
http://dx.doi.org/10.1016/S1672-0229(11)60008-9
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