This application proposes to obtain formal funding to provide the functional genomics community with tools and resources to use standard formats and practices to communicate their data. Our group, the Microarray Gene Expression Data Society (MGED), is an international organization of biologist, computer scientists and data analysts whose aim is to promote and extend experimental science by providing the infrastructure and resources for sharing microarray and other large-scale biological data. This infrastructure includes standards for exchange and annotation of these data and supporting software that provides a common ground for the development of databases and data acquisition, management and analysis tools based on these standards. MGED resources (MIAME, MAGE-ML, MAGE-stk and the MGED Ontology) are already in widespread use, so this grant application seeks funding to improve them, develop new features and to provide dependable support to the research and computational communities using MGED resources.
Each specific aim i s closely tied to at least one other aim, continuing the close and collaborative work that has been the hallmark of MGED. In addition, each of the aims will require communication with the larger research community, both to obtain criticism and feedback, as well as to provide access to resources and assistance in using them. All software produced will continue to be freely available under the MIT Open Source license, and co-development by others will be facilitated by frequent software development """"""""jamborees."""""""" We propose to extend and improve the MAGE Object Model, develop and disseminate an advanced MAGE software toolkit, research and create data quality metrics for microarray data, extend and communicate ontologies for describing microarray experiments, develop and provide tools for validating documents for MIAME compliance and MAGE formatting and to develop freely available tools that allow us to share data.
| Bandrowski, Anita; Brinkman, Ryan; Brochhausen, Mathias et al. (2016) The Ontology for Biomedical Investigations. PLoS One 11:e0154556 |
| Kolesnikov, Nikolay; Hastings, Emma; Keays, Maria et al. (2015) ArrayExpress update--simplifying data submissions. Nucleic Acids Res 43:D1113-6 |
| Parkinson, Helen; Sarkans, Ugis; Kolesnikov, Nikolay et al. (2011) ArrayExpress update--an archive of microarray and high-throughput sequencing-based functional genomics experiments. Nucleic Acids Res 39:D1002-4 |
| Lukk, Margus; Kapushesky, Misha; Nikkilä, Janne et al. (2010) A global map of human gene expression. Nat Biotechnol 28:322-4 |
| Shankar, Ravi; Parkinson, Helen; Burdett, Tony et al. (2010) Annotare--a tool for annotating high-throughput biomedical investigations and resulting data. Bioinformatics 26:2470-1 |
| Parkinson, Helen; Kapushesky, Misha; Kolesnikov, Nikolay et al. (2009) ArrayExpress update--from an archive of functional genomics experiments to the atlas of gene expression. Nucleic Acids Res 37:D868-72 |
| Kauffmann, Audrey; Rayner, Tim F; Parkinson, Helen et al. (2009) Importing ArrayExpress datasets into R/Bioconductor. Bioinformatics 25:2092-4 |
| Maier, Don; Wymore, Farrell; Sherlock, Gavin et al. (2008) The XBabelPhish MAGE-ML and XML translator. BMC Bioinformatics 9:28 |
| Jones, Andrew R; Miller, Michael; Aebersold, Ruedi et al. (2007) The Functional Genomics Experiment model (FuGE): an extensible framework for standards in functional genomics. Nat Biotechnol 25:1127-33 |
| Whetzel, Patricia L; Brinkman, Ryan R; Causton, Helen C et al. (2006) Development of FuGO: an ontology for functional genomics investigations. OMICS 10:199-204 |
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