Abstract

BackgroundAs a powerful tool in whole genome analysis, tiling array has been widely used in the answering of many genomic questions. Now it could also serve as a capture device for the library preparation in the popular high throughput sequencing experiments. Thus, a flexible and efficient tiling array design approach is still needed and could assist in various types and scales of transcriptomic experiment.ResultsIn this paper, we address issues and challenges in designing probes suitable for tiling array applications and targeted sequencing. In particular, we define the penalized uniqueness score, which serves as a controlling criterion to eliminate potential cross-hybridization, and a flexible tiling array design pipeline. Unlike BLAST or simple suffix array based methods, computing and using our uniqueness measurement can be more efficient for large scale design and require less memory. The parameters provided could assist in various types of genomic tiling task. In addition, using both commercial array data and experiment data we show, unlike previously claimed, that palindromic sequence exhibiting relatively lower uniqueness.ConclusionsOur proposed penalized uniqueness score could serve as a better indicator for cross hybridization with higher sensitivity and specificity, giving more control of expected array quality. The flexible tiling design algorithm incorporating the penalized uniqueness score was shown to give higher coverage and resolution. The package to calculate the penalized uniqueness score and the described probe selection algorithm are implemented as a Perl program, which is freely available at http://www1.fbn-dummerstorf.de/en/forschung/fbs/fb3/paper/2012-yang-1/OTAD.v1.1.tar.gz.

Highlights

  • As a powerful tool in whole genome analysis, tiling array has been widely used in the answering of many genomic questions

  • We present the penalized uniqueness score, which serves as a controlling criterion to eliminate potential cross-hybridization, and a flexible tiling array design pipeline

  • In this study, we defined the penalized uniqueness score, which could serve as a better measurement for sequence heterogeneity, showing higher sensitivity and specificity

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Summary

Introduction

As a powerful tool in whole genome analysis, tiling array has been widely used in the answering of many genomic questions. It could serve as a capture device for the library preparation in the popular high throughput sequencing experiments. Being more unbiased than common gene expression arrays, tiling arrays have the ability to empirically investigate transcriptional activity across all known genomic regions, some of which may contain unknown transcripts and splicing variants. Despite significant cost reduction for NGS, tiling array remains more cost-effective for large samples — which typically provide higher and more reliable statistical power — cross-platform collaboration between deep sequencing data and array data has been considered [7]

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