Analyzing Two-Dimensional Gel Images

Neighborhood matrix: A new idea in matching of two dimensional gel images

Automated data analysis and pattern recognition techniques are the requirements of biological and proteomicsresearch studies. The analysis of proteins consists of some stages among which the analysis of two dimensionalelectrophoresis (2-DE) images is crucial. The aim of image capturing is to generate a Photostat that can be used infuture works such as image comparison. The researchers introduce...

Comparing two-dimensional electrophoretic gel images across the Internet.

Scientists around the world often work on similar data so the need to share results and compare data arises periodically. We describe a method of comparing two two-dimensional (2-D) protein gels of similar samples created in different laboratories to help identify or suggest protein spot identification. Now that 2-D gels and associated databases frequently appear on the Internet, this opens up ...

Hybrid registration for two-dimensional gel protein images

Image registration technique is fundamental and essential to the accurate and efficient analysis of protein sequence data. But due to the elastic deformations of two-dimensional gel protein eletrophoresis images, their registration still remains a challenge. In this paper, a hybrid 2D gel protein image registration method is proposed. In the first stage of registration, the wavelet-based hierar...

Automatic protein Spots Quantification in Two-Dimensional gel Images

Two-dimensional (2D) polyacrylamide gel electrophoresis of proteins is a robust and reproducible technique. It is the most widely used separation tool in proteomics. Current efforts in the field are directed at development of tools for expanding the range of proteins accessible with 2D gels. Proteomics was built around the 2D gel. The idea that multiple proteins can be analyzed in parallel grew...

Two-dimensional Gel Electrophoresis