Academic Journal

New approach for segmentation and quantification of two-dimensional gel electrophoresis images

التفاصيل البيبلوغرافية
العنوان: New approach for segmentation and quantification of two-dimensional gel electrophoresis images
المؤلفون: Dos Anjos, António, Moller, Anders L. B., Ersboll, Bjarne K., Finnie, Christine, Shahbazkia, Hamid R.
بيانات النشر: Oxford University Press
سنة النشر: 2011
المجموعة: Universidade do Algarve: Sapienta
مصطلحات موضوعية: Functional domain composition, Support vector machines, Analysis software, Enzyme-kinetics, Protein spots, Prediction, Systems, Steady
الوصف: Motivation: Detection of protein spots in two-dimensional gel electrophoresis images (2-DE) is a very complex task and current approaches addressing this problem still suffer from significant shortcomings. When quantifying a spot, most of the current software applications include a lot of background due to poor segmentation. Other software applications use a fixed window for this task, resulting in omission of part of the protein spot, or including background in the quantification. The approach presented here for the segmentation and quantification of 2-DE aims to minimize these problems. Results: Five sections from different gels are used to test the performance of the presented method concerning the detection of protein spots, and three gel sections are used to test the quantification of sixty protein spots. Comparisons with a state-of-the-art commercial software and an academic state-of-the-art approach are presented. It is shown that the proposed approach for segmentation and quantification of 2-DE images can compete with the available commercial and academic software packages. ; Portuguese Foundation for Science and Technology [SFRH/BD/19233/2004]; Danish Research Council for Natural Sciences (FTP) ; info:eu-repo/semantics/publishedVersion
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 1367-4803
Relation: info:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBD%2F19233%2F2004/PT; http://hdl.handle.net/10400.1/11306
DOI: 10.1093/bioinformatics/btq666
الاتاحة: http://hdl.handle.net/10400.1/11306
https://doi.org/10.1093/bioinformatics/btq666
Rights: openAccess ; http://creativecommons.org/licenses/4.0/
رقم الانضمام: edsbas.DEA167AE
قاعدة البيانات: BASE
الوصف
تدمد:13674803
DOI:10.1093/bioinformatics/btq666