Analyzing Microarray Data
dc.contributor.author | Hung, Jui-Hung | |
dc.contributor.author | Weng, Zhiping | |
dc.date | 2022-08-11T08:07:58.000 | |
dc.date.accessioned | 2022-08-23T15:37:51Z | |
dc.date.available | 2022-08-23T15:37:51Z | |
dc.date.issued | 2016-08-29 | |
dc.date.submitted | 2017-01-27 | |
dc.identifier.citation | Cold Spring Harb Protoc. 2016 Aug 29. doi: 10.1101/pdb.prot093112. <a href="http://dx.doi.org/10.1101/pdb.prot093112">Link to article on publisher's site</a> | |
dc.identifier.issn | 1559-6095 (Linking) | |
dc.identifier.doi | 10.1101/pdb.prot093112 | |
dc.identifier.pmid | 27574201 | |
dc.identifier.uri | http://hdl.handle.net/20.500.14038/25809 | |
dc.description.abstract | Because there is no widely used software for analyzing RNA-seq data that has a graphical user interface, this protocol provides an example of analyzing microarray data using Babelomics. This analysis entails performing quantile normalization and then detecting differentially expressed genes associated with the transgenesis of a human oncogene c-Myc in mice. Finally, hierarchical clustering is performed on the differentially expressed genes using the Cluster program, and the results are visualized using TreeView. | |
dc.language.iso | en_US | |
dc.relation | <a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=27574201&dopt=Abstract">Link to Article in PubMed</a> | |
dc.relation.url | http://dx.doi.org/10.1101/pdb.prot093112 | |
dc.subject | Bioinformatics | |
dc.subject | Computational Biology | |
dc.title | Analyzing Microarray Data | |
dc.type | Journal Article | |
dc.source.journaltitle | Cold Spring Harbor protocols | |
dc.identifier.legacycoverpage | https://escholarship.umassmed.edu/bioinformatics_pubs/100 | |
dc.identifier.contextkey | 9590773 | |
html.description.abstract | <p>Because there is no widely used software for analyzing RNA-seq data that has a graphical user interface, this protocol provides an example of analyzing microarray data using Babelomics. This analysis entails performing quantile normalization and then detecting differentially expressed genes associated with the transgenesis of a human oncogene c-Myc in mice. Finally, hierarchical clustering is performed on the differentially expressed genes using the Cluster program, and the results are visualized using TreeView.</p> | |
dc.identifier.submissionpath | bioinformatics_pubs/100 | |
dc.contributor.department | Department of Biochemistry and Molecular Pharmacology | |
dc.contributor.department | Program in Bioinformatics and Integrative Biology |