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

被引：0
|
作者：
Chang-Kyu Lee
Susan M Sunkin
Chihchau Kuan
Carol L Thompson
Sayan Pathak
Lydia Ng
Chris Lau
Shanna Fischer
Marty Mortrud
Cliff Slaughterbeck
Allan Jones
Ed Lein
Michael Hawrylycz
机构：
[1] Allen Institute for Brain Science,
来源：
Genome Biology | / 9卷
关键词：
Additional Data File; Massively Parallel Signature Sequencing; Wolfram Syndrome; Allen Brain Atlas; Allen Brain Atlas Data;
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摘要：
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.
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