Extraction and comparison of gene expression patterns from 2D RNA in situ hybridization images.

ABSTRACT:

Motivation

Recent advancements in high-throughput imaging have created new large datasets with tens of thousands of gene expression images. Methods for capturing these spatial and/or temporal expression patterns include in situ hybridization or fluorescent reporter constructs or tags, and results are still frequently assessed by subjective qualitative comparisons. In order to deal with available large datasets, fully automated analysis methods must be developed to properly normalize and model spatial expression patterns.

Results

We have developed image segmentation and registration methods to identify and extract spatial gene expression patterns from RNA in situ hybridization experiments of Drosophila embryos. These methods allow us to normalize and extract expression inform

SUBMITTER: Mace DL 

PROVIDER: S-EPMC3140183 | biostudies-literature | 2010 Mar

REPOSITORIES: biostudies-literature