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PositionMatcher: A Fast Custom-Annotation Tool for Short DNA Sequences

Microarray probes and reads from massively parallel sequencing technologies are two most widely used genomic tags for a transcriptome study. Names and underlying technologies might differ, but expression technologies share a common objective—to obtain mRNA abundance values at the gene level, with hi...

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Detalles Bibliográficos
Autores principales: Pitzer, Erik, Kim, Jihoon, Patel, Kiltesh, Galante, Pedro A, Ohno-Machado, Lucila
Formato: Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041550/
https://www.ncbi.nlm.nih.gov/pubmed/21347141
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author Pitzer, Erik
Kim, Jihoon
Patel, Kiltesh
Galante, Pedro A
Ohno-Machado, Lucila
author_facet Pitzer, Erik
Kim, Jihoon
Patel, Kiltesh
Galante, Pedro A
Ohno-Machado, Lucila
author_sort Pitzer, Erik
collection PubMed
description Microarray probes and reads from massively parallel sequencing technologies are two most widely used genomic tags for a transcriptome study. Names and underlying technologies might differ, but expression technologies share a common objective—to obtain mRNA abundance values at the gene level, with high sensitivity and specificity. However, the initial tag annotation becomes obsolete as more insight is gained into biological references (genome, transcriptome, SNP, etc.). While novel alignment algorithms for short reads are being released every month, solutions for rapid annotation of tags are rare. We have developed a generic matching algorithm that uses genomic positions for rapid custom-annotation of tags with a time complexity O(nlogn). We demonstrate our algorithm on the custom annotation of Illumina massively parallel sequencing reads and Affymetrix microarray probes and identification of alternatively spliced regions.
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spelling pubmed-30415502011-02-23 PositionMatcher: A Fast Custom-Annotation Tool for Short DNA Sequences Pitzer, Erik Kim, Jihoon Patel, Kiltesh Galante, Pedro A Ohno-Machado, Lucila Summit on Translat Bioinforma Articles Microarray probes and reads from massively parallel sequencing technologies are two most widely used genomic tags for a transcriptome study. Names and underlying technologies might differ, but expression technologies share a common objective—to obtain mRNA abundance values at the gene level, with high sensitivity and specificity. However, the initial tag annotation becomes obsolete as more insight is gained into biological references (genome, transcriptome, SNP, etc.). While novel alignment algorithms for short reads are being released every month, solutions for rapid annotation of tags are rare. We have developed a generic matching algorithm that uses genomic positions for rapid custom-annotation of tags with a time complexity O(nlogn). We demonstrate our algorithm on the custom annotation of Illumina massively parallel sequencing reads and Affymetrix microarray probes and identification of alternatively spliced regions. American Medical Informatics Association 2010-03-01 /pmc/articles/PMC3041550/ /pubmed/21347141 Text en ©2010 AMIA - All rights reserved. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose
spellingShingle Articles
Pitzer, Erik
Kim, Jihoon
Patel, Kiltesh
Galante, Pedro A
Ohno-Machado, Lucila
PositionMatcher: A Fast Custom-Annotation Tool for Short DNA Sequences
title PositionMatcher: A Fast Custom-Annotation Tool for Short DNA Sequences
title_full PositionMatcher: A Fast Custom-Annotation Tool for Short DNA Sequences
title_fullStr PositionMatcher: A Fast Custom-Annotation Tool for Short DNA Sequences
title_full_unstemmed PositionMatcher: A Fast Custom-Annotation Tool for Short DNA Sequences
title_short PositionMatcher: A Fast Custom-Annotation Tool for Short DNA Sequences
title_sort positionmatcher: a fast custom-annotation tool for short dna sequences
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041550/
https://www.ncbi.nlm.nih.gov/pubmed/21347141
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