Guide: a desktop application for analysing gene expression data.
- Author(s)
- Choi, J;
- Journal Title
- BMC Genomics
- Publication Type
- Journal Article
- Abstract
- Multiplecompeting bioinformatics tools exist for next-generation sequencing data analysis. Many of these tools are available as R/Bioconductor modules, and it can be challenging for the bench biologist without any programming background to quickly analyse genomics data. Here, we present an application that is designed to be simple to use, while leveraging the power of R as the analysis engine behind the scenes.
- Publisher
- BioMed Central
- Keywords
- Software
- Research Division(s)
- Molecular Medicine
- Publisher's Version
- https://doi.org/10.1186/1471-2164-14-688
- Open Access at Publisher's Site
http://www.biomedcentral.com/1471-2164/14/688- Terms of Use/Rights Notice
- © 2013 Choi; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Creation Date: 2013-01-01 12:00:00