Tilescope: online analysis pipeline for high-density tiling microarray data

doi:10.1186/gb-2007-8-5-r81

Genome Biology
Volume 8
Issue 5

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Tilescope: online analysis pipeline for high-density tiling microarray data

Zhengdong D Zhang¹ , Joel Rozowsky¹ , Hugo YK Lam² , Jiang Du³ , Michael Snyder⁴ and Mark Gerstein¹^,2^,3

¹Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA

²Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA

³Department of Computer Science, Yale University, New Haven, CT 06520, USA

⁴Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT 06520, USA

author email corresponding author email

Genome Biology 2007, 8:R81doi:10.1186/gb-2007-8-5-r81


Published:	14 May 2007

Subject areas: Biochemistry and structural biology, Genome studies, Methods

Abstract

We developed Tilescope, a fully integrated data processing pipeline for analyzing high-density tiling-array data http://tilescope.gersteinlab.org webcite. In a completely automated fashion, Tilescope will normalize signals between channels and across arrays, combine replicate experiments, score each array element, and identify genomic features. The program is designed with a modular, three-tiered architecture, facilitating parallelism, and a graphic user-friendly interface, presenting results in an organized web page, downloadable for further analysis.