An approach to comparing tiling array and high throughput sequencing technologies for genomic transcript mapping

<p>Abstract</p> <p>Background</p> <p>There are two main technologies for transcriptome profiling, namely, tiling microarrays and high-throughput sequencing. Recently there has been a tremendous amount of excitement about the latter because of the advent of next-generati...

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Main Authors: Rozowsky Joel, Agarwal Ashish, Sasidharan Rajkumar, Gerstein Mark
Format: Article
Language:English
Published: BMC 2009-07-01
Series:BMC Research Notes
Online Access:http://www.biomedcentral.com/1756-0500/2/150
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spelling doaj-fc4dcd078ce24a7ba1de822cb45789f32020-11-25T02:02:29ZengBMCBMC Research Notes1756-05002009-07-012115010.1186/1756-0500-2-150An approach to comparing tiling array and high throughput sequencing technologies for genomic transcript mappingRozowsky JoelAgarwal AshishSasidharan RajkumarGerstein Mark<p>Abstract</p> <p>Background</p> <p>There are two main technologies for transcriptome profiling, namely, tiling microarrays and high-throughput sequencing. Recently there has been a tremendous amount of excitement about the latter because of the advent of next-generation sequencing technologies and its promises. Consequently, the question of the moment is how these two technologies compare. Here we attempt to develop an approach to do a fair comparison of transcripts identified from tiling microarray and MPSS sequencing data.</p> <p>Findings</p> <p>This comparison is a challenging task because the sequencing data is discrete while the tiling array data is continuous. We use the published rice and <it>Arabidopsis </it>datasets which provide currently best matched sets of arrays and sequencing experiments using a slightly earlier generation of sequencing, the MPSS tag sequencing technology. After scoring the arrays consistently in both the organisms, a first pass comparison reveals a surprisingly small overlap in transcripts of 22% and 66% respectively, in rice and <it>Arabidopsis</it>. However, when we do the analysis in detail, we find that this is an underestimate. In particular, when we map the probe intensities onto the sequencing tags and then look at their intensity distribution, we see that they are very similar to exons. Furthermore, restricting our comparison to only protein-coding gene loci revealed a very good overlap between the two technologies.</p> <p>Conclusion</p> <p>Our approach to compare genome tiling microarray and MPSS sequencing data suggests that there is actually a reasonable overlap in transcripts identified by the two technologies. This overlap is distorted by the scoring and thresholding in the tiling array scoring procedure.</p> http://www.biomedcentral.com/1756-0500/2/150
collection DOAJ
language English
format Article
sources DOAJ
author Rozowsky Joel
Agarwal Ashish
Sasidharan Rajkumar
Gerstein Mark
spellingShingle Rozowsky Joel
Agarwal Ashish
Sasidharan Rajkumar
Gerstein Mark
An approach to comparing tiling array and high throughput sequencing technologies for genomic transcript mapping
BMC Research Notes
author_facet Rozowsky Joel
Agarwal Ashish
Sasidharan Rajkumar
Gerstein Mark
author_sort Rozowsky Joel
title An approach to comparing tiling array and high throughput sequencing technologies for genomic transcript mapping
title_short An approach to comparing tiling array and high throughput sequencing technologies for genomic transcript mapping
title_full An approach to comparing tiling array and high throughput sequencing technologies for genomic transcript mapping
title_fullStr An approach to comparing tiling array and high throughput sequencing technologies for genomic transcript mapping
title_full_unstemmed An approach to comparing tiling array and high throughput sequencing technologies for genomic transcript mapping
title_sort approach to comparing tiling array and high throughput sequencing technologies for genomic transcript mapping
publisher BMC
series BMC Research Notes
issn 1756-0500
publishDate 2009-07-01
description <p>Abstract</p> <p>Background</p> <p>There are two main technologies for transcriptome profiling, namely, tiling microarrays and high-throughput sequencing. Recently there has been a tremendous amount of excitement about the latter because of the advent of next-generation sequencing technologies and its promises. Consequently, the question of the moment is how these two technologies compare. Here we attempt to develop an approach to do a fair comparison of transcripts identified from tiling microarray and MPSS sequencing data.</p> <p>Findings</p> <p>This comparison is a challenging task because the sequencing data is discrete while the tiling array data is continuous. We use the published rice and <it>Arabidopsis </it>datasets which provide currently best matched sets of arrays and sequencing experiments using a slightly earlier generation of sequencing, the MPSS tag sequencing technology. After scoring the arrays consistently in both the organisms, a first pass comparison reveals a surprisingly small overlap in transcripts of 22% and 66% respectively, in rice and <it>Arabidopsis</it>. However, when we do the analysis in detail, we find that this is an underestimate. In particular, when we map the probe intensities onto the sequencing tags and then look at their intensity distribution, we see that they are very similar to exons. Furthermore, restricting our comparison to only protein-coding gene loci revealed a very good overlap between the two technologies.</p> <p>Conclusion</p> <p>Our approach to compare genome tiling microarray and MPSS sequencing data suggests that there is actually a reasonable overlap in transcripts identified by the two technologies. This overlap is distorted by the scoring and thresholding in the tiling array scoring procedure.</p>
url http://www.biomedcentral.com/1756-0500/2/150
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