Seeded Watershed Segmentation Based Proteomics for 2D-Gel Electrophoresis Images
Pages 303 - 308
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.
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Index Terms
- Seeded Watershed Segmentation Based Proteomics for 2D-Gel Electrophoresis Images
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Information
Published In
August 2015
763 pages
ISBN:9781450333610
DOI:10.1145/2791405
- Editor:
- Indu Nair,
- General Chairs:
- Sushmita Mitra,
- Ljiljana Trajković,
- Program Chairs:
- Punam Bedi,
- Suzanne McIntosh,
- M. S. Rajasree
Copyright © 2015 ACM.
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Association for Computing Machinery
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Published: 10 August 2015
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WCI '15
WCI '15: Third International Symposium on Women in Computing and Informatics
August 10 - 13, 2015
Kochi, India
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WCI '15 Paper Acceptance Rate 98 of 452 submissions, 22%;
Overall Acceptance Rate 98 of 452 submissions, 22%
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