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AGA: Interactive pipeline for reproducible gene expression and DNA methylation data analyses
Automated 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 pr...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000Research
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4617321/ https://www.ncbi.nlm.nih.gov/pubmed/26535111 http://dx.doi.org/10.12688/f1000research.6030.2 |
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author | Considine, Michael Parker, Hilary Wei, Yingying Xia, Xaio Cope, Leslie Ochs, Michael Fertig, Elana |
author_facet | Considine, Michael Parker, Hilary Wei, Yingying Xia, Xaio Cope, Leslie Ochs, Michael Fertig, Elana |
author_sort | Considine, Michael |
collection | PubMed |
description | Automated 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 novices. |
format | Online Article Text |
id | pubmed-4617321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | F1000Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-46173212015-11-02 AGA: Interactive pipeline for reproducible gene expression and DNA methylation data analyses Considine, Michael Parker, Hilary Wei, Yingying Xia, Xaio Cope, Leslie Ochs, Michael Fertig, Elana F1000Res Software Tool Article Automated 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 novices. F1000Research 2015-10-21 /pmc/articles/PMC4617321/ /pubmed/26535111 http://dx.doi.org/10.12688/f1000research.6030.2 Text en Copyright: © 2015 Considine M et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Tool Article Considine, Michael Parker, Hilary Wei, Yingying Xia, Xaio Cope, Leslie Ochs, Michael Fertig, Elana AGA: Interactive pipeline for reproducible gene expression and DNA methylation data analyses |
title | AGA: Interactive pipeline for reproducible gene expression and DNA methylation data analyses |
title_full | AGA: Interactive pipeline for reproducible gene expression and DNA methylation data analyses |
title_fullStr | AGA: Interactive pipeline for reproducible gene expression and DNA methylation data analyses |
title_full_unstemmed | AGA: Interactive pipeline for reproducible gene expression and DNA methylation data analyses |
title_short | AGA: Interactive pipeline for reproducible gene expression and DNA methylation data analyses |
title_sort | aga: interactive pipeline for reproducible gene expression and dna methylation data analyses |
topic | Software Tool Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4617321/ https://www.ncbi.nlm.nih.gov/pubmed/26535111 http://dx.doi.org/10.12688/f1000research.6030.2 |
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