Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-4773
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: RACE : remote analysis computation for gene expression data
Authors : Psarros, Michael
Heber, Steffen
Sick, Manuela
Thoppae, Gnanasekaran
Harshman, Keith
Sick, Beate
DOI : 10.21256/zhaw-4773
10.1093/nar/gki490
Published in : Nucleic Acids Research
Volume(Issue) : 46
Issue : 22
Pages : W638
Pages to: W643
Issue Date: 2005
Publisher / Ed. Institution : Oxford University Press
ISSN: 0305-1048
1362-4962
Language : English
Subjects : Expert system; Web tool; Microarray
Subject (DDC) : 005: Computer programming, programs and data
570: Biology
Abstract: The Remote Analysis Computation for gene Expression data (RACE) suite is a collection of bioinformatics web tools designed for the analysis of DNA microarray data. RACE performsprobe-level data preprocessing,extensive quality checks, data visualization anddatanormalization for AffymetrixGeneChips. In addition, it offers differential expression analysis on normalized expression levels from any array platform. RACE estimates the false discovery rates of lists of potentially regulated genes and provides a Gene Ontology-term analysis tool for GeneChip data to support the biological interpretation and annotation of results. The analysis is fully automated but can be customized by flexible parameter settings. To offer a convenient starting point for subsequent analyses, and to provide maximum transparency, the R scripts used to generate the results can be downloaded along with the output files.
URI: https://digitalcollection.zhaw.ch/handle/11475/14005
Fulltext version : Published version
License (according to publishing contract) : CC BY-NC 4.0: Attribution - Non commercial 4.0 International
Departement: School of Engineering
Organisational Unit: Institute of Data Analysis and Process Design (IDP)
Appears in Collections:Publikationen School of Engineering

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