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dc.contributor.authorOchs, Michael F.
dc.contributor.authorConsidine, Michael
dc.contributor.authorParker, Hilary
dc.contributor.authorWei, Yingying
dc.contributor.authorXia, Xaio
dc.contributor.authorCope, Leslie
dc.contributor.authorFertig, Elana J.
dc.date.accessioned2018-04-21T16:27:32Z
dc.date.available2018-04-21T16:27:32Z
dc.date.issued2015
dc.identifier.citationConsidine M, Parker H, Wei Y et al. AGA: Interactive pipeline for reproducible gene expression and DNA methylation data analyses [version 2; referees: 2 approved]. F1000Research 2015, 4:28en_US
dc.identifier.urihttp://dx.doi.org/10.12688/f1000research.6030.2
dc.description.abstractAutomated Genomics Analysis (AGA) is an interactive program to analyze high-throughput genomic data sets on a variety of platforms. An easy to use, point and click, guided pipeline is implemented to combine, define, and compare datasets, and customize their outputs. In contrast to other automated programs, AGA enables flexible selection of sample groups for comparison from complex sample annotations. Batch correction techniques are also included to further enable the combination of datasets from diverse studies in this comparison. AGA also allows users to save plots, tables and data, and log files containing key portions of the R script run for reproducible analyses. The link between the interface and R supports collaborative research, enabling advanced R users to extend preliminary analyses generated from bioinformatics novicesen_US
dc.language.isoen_USen_US
dc.publisherF1000Researchen_US
dc.subjectautomateden_US
dc.subjectgenomicen_US
dc.subjectanalysisen_US
dc.subjectdatasetsen_US
dc.subjectDNAen_US
dc.subjectmethylationen_US
dc.subjectexpressionen_US
dc.subjectarraysen_US
dc.titleAGA: Interactive pipeline for reproducible gene expression and DNA methylation data analysesen_US
dc.typeArticleen_US
dc.typeTexten_US
prism.publicationNameF1000Research
prism.volume4
prism.issueIdentifier28
prism.publicationDate2015
dc.identifier.handlehttps://dr.tcnj.edu/handle/2900/2281


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