Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Minireview cung cấp cho các bạn kiến thức về ngành y đề tài: ProCAT: a data analysis approach for protein microarrays. | Open Access Method ProCAT a data analysis approach for protein microarrays Xiaowei Zhu Mark Gerstein and Michael Snyder Addresses Program in Computational Biology and Bioinformatics Yale University New Haven CT 06511 USA. Department of Molecular Biophysics and Biochemistry Yale University New Haven CT 06511 USA. Department of Computer Science Yale University New Haven CT 06511 USA. Department of Molecular Cellular and Developmental Biology Yale University New Haven CT 06511 USA. Correspondence Michael Snyder. Email Published 16 November 2006 Genome Biology 2006 7 R110 doi gb-2006-7- 11-r110 The electronic version of this article is the complete one and can be found online at http 2006 7 11 R1 10 Received 18 May 2006 Revised 10 July 2006 Accepted 16 November 2006 2006 Zhu et al. licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Protein microarrays provide a versatile method for the analysis of many protein biochemical activities. Existing DNA microarray analytical methods do not translate to protein microarrays due to differences between the technologies. Here we report a new approach ProCAT which corrects for background bias and spatial artifacts identifies significant signals filters nonspecific spots and normalizes the resulting signal to protein abundance. ProCAT provides a powerful and flexible new approach for analyzing many types of protein microarrays. Background DNA microarray technologies have proven to be extremely valuable for probing biological processes by measuring mRNA expression profiles. However studies at the protein level have the potential to provide more direct information since most genes function through their protein products. Traditional .
