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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 |
| Page(s): | 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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2005_Psarros_Race.pdf | 1.85 MB | Adobe PDF |  View/Open |
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Psarros, M., Heber, S., Sick, M., Thoppae, G., Harshman, K., & Sick, B. (2005). RACE : remote analysis computation for gene expression data. Nucleic Acids Research, 46(22), W638–W643. https://doi.org/10.21256/zhaw-4773
Psarros, M. et al. (2005) ‘RACE : remote analysis computation for gene expression data’, Nucleic Acids Research, 46(22), pp. W638–W643. Available at: https://doi.org/10.21256/zhaw-4773.
M. Psarros, S. Heber, M. Sick, G. Thoppae, K. Harshman, and B. Sick, “RACE : remote analysis computation for gene expression data,” Nucleic Acids Research, vol. 46, no. 22, pp. W638–W643, 2005, doi: 10.21256/zhaw-4773.
PSARROS, Michael, Steffen HEBER, Manuela SICK, Gnanasekaran THOPPAE, Keith HARSHMAN und Beate SICK, 2005. RACE : remote analysis computation for gene expression data. Nucleic Acids Research. 2005. Bd. 46, Nr. 22, S. W638–W643. DOI 10.21256/zhaw-4773
Psarros, Michael, Steffen Heber, Manuela Sick, Gnanasekaran Thoppae, Keith Harshman, and Beate Sick. 2005. “RACE : Remote Analysis Computation for Gene Expression Data.” Nucleic Acids Research 46 (22): W638–W43. https://doi.org/10.21256/zhaw-4773.
Psarros, Michael, et al. “RACE : Remote Analysis Computation for Gene Expression Data.” Nucleic Acids Research, vol. 46, no. 22, 2005, pp. W638–43, https://doi.org/10.21256/zhaw-4773.
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