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dc.contributor.authorLi, Cheng
dc.date.accessioned2010-11-29T16:19:56Z
dc.date.issued2008
dc.identifier.citationLi, Cheng. 2008. Automating dChip: toward reproducible sharing of microarray data analysis. BMC Bioinformatics 9:231.en_US
dc.identifier.issn1471-2105en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:4591559
dc.description.abstractBackground: During the past decade, many software packages have been developed for analysis and visualization of various types of microarrays. We have developed and maintained the widely used dChip as a microarray analysis software package accessible to both biologist and data analysts. However, challenges arise when dChip users want to analyze large number of arrays automatically and share data analysis procedures and parameters. Improvement is also needed when the dChip user support team tries to identify the causes of reported analysis errors or bugs from users. Results: We report here implementation and application of the dChip automation module. Through this module, dChip automation files can be created to include menu steps, parameters, and data viewpoints to run automatically. A data-packaging function allows convenient transfer from one user to another of the dChip software, microarray data, and analysis procedures, so that the second user can reproduce the entire analysis session of the first user. An analysis report file can also be generated during an automated run, including analysis logs, user comments, and viewpoint screenshots. Conclusion: The dChip automation module is a step toward reproducible research, and it can prompt a more convenient and reproducible mechanism for sharing microarray software, data, and analysis procedures and results. Automation data packages can also be used as publication supplements. Similar automation mechanisms could be valuable to the research community if implemented in other genomics and bioinformatics software packages.en_US
dc.language.isoen_USen_US
dc.publisherBioMed Centralen_US
dc.relation.isversionofdoi:10.1186/1471-2105-9-231en_US
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC2390544/pdf/en_US
dash.licenseLAA
dc.titleAutomating dChip: Toward Reproducible Sharing of Microarray Data Analysisen_US
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden_US
dc.relation.journalBMC Bioinformaticsen_US
dash.depositing.authorLi, Cheng
dc.date.available2010-11-29T16:19:56Z
dash.affiliation.otherSPH^Biostatisticsen_US
dc.identifier.doi10.1186/1471-2105-9-231*
dash.contributor.affiliatedLi, Cheng


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