TAILIEUCHUNG - Báo cáo sinh học: ""Hook"-calibration of GeneChip-microarrays: Chip characteristics and expression measures"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí y học Molecular Biology cung cấp cho các bạn kiến thức về ngành sinh học đề tài: "Hook"-calibration of GeneChip-microarrays: Chip characteristics and expression measures. | Algorithms for Molecular Biology BioMed Central Research Hook -calibration of GeneChip-microarrays Chip characteristics and expression measures Hans Binder 1 Knut Krohn2 and Stephan Preibisch3 Address Unterdisciplinary Centre for Bioinformatics University of Leipzig D-04107 Leipzig Germany interdisciplinary Center for Clinical Research Medical Faculty University of Leipzig D-04107 Leipzig Germany and 3Max-Planck-Institute for Molecular Cell Biology and Genetics D-01307 Dresden Germany Email Hans Binder - binder@ Knut Krohn - krok@ Stephan Preibisch - preibisch@ Corresponding author Open Access Published 29 August 2008 Received 27 May 2008 Algorithms for Molecular Biology 2008 3 11 doi 1748-7188-3-11 Accepted 29 August 2008 This article is available from http content 3 1 11 2008 Binder 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 Background Microarray experiments rely on several critical steps that may introduce biases and uncertainty in downstream analyses. These steps include mRNA sample extraction amplification and labelling hybridization and scanning causing chip-specific systematic variations on the raw intensity level. Also the chosen array-type and the up-to-dateness of the genomic information probed on the chip affect the quality of the expression measures. In the accompanying publication we presented theory and algorithm of the so-called hook method which aims at correcting expression data for systematic biases using a series of new chip characteristics. Results In this publication we summarize the essential chip characteristics provided by this method analyze special benchmark experiments to estimate transcript related expression

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