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Quantitative methods for genome-scale analysis of in situ hybridization and correlation with microarray data.


ABSTRACT: With the emergence of genome-wide colorimetric in situ hybridization (ISH) data sets such as the Allen Brain Atlas, it is important to understand the relationship between this gene expression modality and those derived from more quantitative based technologies. This study introduces a novel method for standardized relative quantification of colorimetric ISH signal that enables a large-scale cross-platform expression level comparison of ISH with two publicly available microarray brain data sources.

SUBMITTER: Lee CK 

PROVIDER: S-EPMC2395252 | biostudies-literature | 2008

REPOSITORIES: biostudies-literature

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Quantitative methods for genome-scale analysis of in situ hybridization and correlation with microarray data.

Lee Chang-Kyu CK   Sunkin Susan M SM   Kuan Chihchau C   Thompson Carol L CL   Pathak Sayan S   Ng Lydia L   Lau Chris C   Fischer Shanna S   Mortrud Marty M   Slaughterbeck Cliff C   Jones Allan A   Lein Ed E   Hawrylycz Michael M  

Genome biology 20080130 1


With the emergence of genome-wide colorimetric in situ hybridization (ISH) data sets such as the Allen Brain Atlas, it is important to understand the relationship between this gene expression modality and those derived from more quantitative based technologies. This study introduces a novel method for standardized relative quantification of colorimetric ISH signal that enables a large-scale cross-platform expression level comparison of ISH with two publicly available microarray brain data source  ...[more]

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