Solomon, Jerry E. and Harrington, Michael G. (1993) A robust high-sensitivity algorithm for automated detection of proteins in two-dimensional electrophoresis gels. Computer Applications in the Biosciences (CABIOS), 9 (2). pp. 133-139. ISSN 0266-7061. https://resolver.caltech.edu/CaltechAUTHORS:SOLcabios93
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Abstract
The automated interpretation of two-dimensional gel electrophoresis images used in protein separation and analysis presents a formidable problem in the detection and characterization of ill-defined spatial objects. We describe in this paper a hierarchical algorithm that provides a robust, high-sensitivity solution to this problem, which can be easily adapted to a variety of experimental situations. The software implementation of this algorithm functions as part of a complete package designed for general protein gel analysis applications.
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Additional Information: | © 1993 Oxford University Press. Reprinted with permission. Received on January 27, 1992; accepted on July 29, 1992. The authors gratefully acknowledge the assistance of Miki Yun in preparing the many protein gels, and their digitized images, which were used in the course of this investigation. The work described was supported under grant NSFDIR-8809710, as part of the National Science Foundation STC for Molecular Biotechnology. | |||||||||
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Issue or Number: | 2 | |||||||||
Record Number: | CaltechAUTHORS:SOLcabios93 | |||||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:SOLcabios93 | |||||||||
Official Citation: | Jerry E. Solomon and Michael G. Harrington A robust high-sensitivity algorithm for automated detection of proteins in two-dimensional electrophoresis gels Comput Appl Biosci (1993) 9 (2): 133-139 doi:10.1093/bioinformatics/9.2.133 | |||||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | |||||||||
ID Code: | 1431 | |||||||||
Collection: | CaltechAUTHORS | |||||||||
Deposited By: | Archive Administrator | |||||||||
Deposited On: | 18 Jan 2006 | |||||||||
Last Modified: | 12 Dec 2019 17:06 |
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