NDLI: Seeded Watershed Segmentation Based Proteomics for 2D-Gel Electrophoresis Images

Content Provider	ACM Digital Library
Author	Savitha, S. D. Desai, Shrinivas D.
Abstract	Proteome analysis is most frequently accomplished by a blend of two-dimensional gel electrophoresis (2DGE) to separate and visualize proteins and mass spectrometry (MS) for protein identification. Even though this technique is influential, mature, and responsive, questions remain regarding its ability to characterize all of the elements of a proteome. The process of screening for proteins is laborious and protein pattern differences between gel images can be very subtle and tedious to detect by naked eye. Hence there is tremendous need for automatic detection of proteins by computer based tools. In this paper we propose software tool, based on watershed segmentation and point matching as a promising method for protein detection. Proteomics has become an important part of life Sciences especially after the completion of sequencing the human genome. For the analysis, the software Protein Image Registration (PIR) is used. The proposed tool detects and presents proteins along with their properties such as name, molecular mass and pH score.
Starting Page	303
Ending Page	308
Page Count	6
File Format	PDF
ISBN	9781450333610
DOI	10.1145/2791405.2791449
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-08-10
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Histogram Point matching Proteomics Watershed 2dge
Content Type	Text
Resource Type	Article

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Seeded Watershed Segmentation Based Proteomics for 2D-Gel Electrophoresis Images