Date of Original Version

6-15-2010

Type

Article

PubMed ID

20529936

Rights Management

© The Author(s) 2010. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract or Description

MOTIVATION: Microarray profiling of mRNA abundance is often ill suited for temporal-spatial analysis of gene expressions in multicellular organisms such as Drosophila. Recent progress in image-based genome-scale profiling of whole-body mRNA patterns via in situ hybridization (ISH) calls for development of accurate and automatic image analysis systems to facilitate efficient mining of complex temporal-spatial mRNA patterns, which will be essential for functional genomics and network inference in higher organisms.

RESULTS: We present SPEX(2), an automatic system for embryonic ISH image processing, which can extract, transform, compare, classify and cluster spatial gene expression patterns in Drosophila embryos. Our pipeline for gene expression pattern extraction outputs the precise spatial locations and strengths of the gene expression. We performed experiments on the largest publicly available collection of Drosophila ISH images, and show that our method achieves excellent performance in automatic image annotation, and also finds clusters that are significantly enriched, both for gene ontology functional annotations, and for annotation terms from a controlled vocabulary used by human curators to describe these images.

AVAILABILITY: Software will be available at http://www.sailing.cs.cmu.edu/.

SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

DOI

10.1093/bioinformatics/btq172

Creative Commons


This work is licensed under a Creative Commons Attribution-Noncommercial 3.0 License

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Published In

Bioinformatics, 26, 12, 47-56.