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Patricia L Whetzel

Publications and source records attributed to Patricia L Whetzel.

5 recordsLinked to original sources

A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB.

BACKGROUND: Sharing of microarray data within the research community has been greatly facilitated by the development of the disclosure and communication standards MIAME and MAGE-ML by the MGED Society. However, the complexity of the MAGE-ML format has made its use impractical for laboratories lacking dedicated bioinformatics support. RESULTS: We propose a simple tab-delimited, spreadsheet-based format, MAGE-TAB, which will become a part of the MAGE microarray data standard and can be used for annotating and communicating microarray data in a MIAME compliant fashion. CONCLUSION: MAGE-TAB will enable laboratories without bioinformatics experience or support to manage, exchange and submit well-annotated microarray data in a standard format using a spreadsheet. The MAGE-TAB format is self-contained, and does not require an understanding of MAGE-ML or XML.

Computational Biology↗

The MGED Ontology: a resource for semantics-based description of microarray experiments.

MOTIVATION: The generation of large amounts of microarray data and the need to share these data bring challenges for both data management and annotation and highlights the need for standards. MIAME specifies the minimum information needed to describe a microarray experiment and the Microarray Gene Expression Object Model (MAGE-OM) and resulting MAGE-ML provide a mechanism to standardize data representation for data exchange, however a common terminology for data annotation is needed to support these standards. RESULTS: Here we describe the MGED Ontology (MO) developed by the Ontology Working Group of the Microarray Gene Expression Data (MGED) Society. The MO provides terms for annotating all aspects of a microarray experiment from the design of the experiment and array layout, through to the preparation of the biological sample and the protocols used to hybridize the RNA and analyze the data. The MO was developed to provide terms for annotating experiments in line with the MIAME guidelines, i.e. to provide the semantics to describe a microarray experiment according to the concepts specified in MIAME. The MO does not attempt to incorporate terms from existing ontologies, e.g. those that deal with anatomical parts or developmental stages terms, but provides a framework to reference terms in other ontologies and therefore facilitates the use of ontologies in microarray data annotation. AVAILABILITY: The MGED Ontology version.1.2.0 is available as a file in both DAML and OWL formats at http://mged.sourceforge.net/ontologies/index.php. Release notes and annotation examples are provided. The MO is also provided via the NCICB's Enterprise Vocabulary System (http://nciterms.nci.nih.gov/NCIBrowser/Dictionary.do). CONTACT: Stoeckrt@pcbi.upenn.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Computational Biology↗

Using ontologies to annotate microarray experiments.

Consistent annotation of studies using microarrays is critical to optimal management and use of microarray data. Ontologies provide defined and structured terminology suited for this purpose. The Gene Ontology (GO) has aided the analysis of expression studies greatly by providing consistent functional annotation of array sequence features. The intent of the MGED Ontology (MO) is to provide consistent experimental annotation. The MO has been developed as a community effort in support of the Minimum Information About a Microarray Experiment standard and is tied to the Microarray Gene Expression object model. The MO is freely available and has been incorporated into the annotation systems of several public microarray database systems.

Animals↗

Development of FuGO: an ontology for functional genomics investigations.

The development of the Functional Genomics Investigation Ontology (FuGO) is a collaborative, international effort that will provide a resource for annotating functional genomics investigations, including the study design, protocols and instrumentation used, the data generated and the types of analysis performed on the data. FuGO will contain both terms that are universal to all functional genomics investigations and those that are domain specific. In this way, the ontology will serve as the "semantic glue" to provide a common understanding of data from across these disparate data sources. In addition, FuGO will reference out to existing mature ontologies to avoid the need to duplicate these resources, and will do so in such a way as to enable their ease of use in annotation. This project is in the early stages of development; the paper will describe efforts to initiate the project, the scope and organization of the project, the work accomplished to date, and the challenges encountered, as well as future plans.

Biomedical Research↗

Transposon mutagenesis of Mycoplasma gallisepticum.

There are few systems available for studying the genetics of the important avian respiratory pathogen, Mycoplasma gallisepticum. These techniques are needed to develop a mechanism to study the molecular pathogenesis of M. gallisepticum. Tn916 has the ability to transpose into the M. gallisepticum genome by both transformation and conjugation. In this study, PEG-mediated transformation was employed for the transfer of Tn916 into M. gallisepticum and create a transposon mutant library. Transformants were obtained at a frequency of approximately 5 x 10(-8) per recipient CFU. A total of 424 MG/Tn916 mutants were constructed and sequence data from the transposon junctions of 71 mutants was obtained and used to identify transposon insertion sites. Insertions were found throughout the genome in nearly all of the major gene categories, making this the first extensive characterization of a transposon mutant library of M. gallisepticum. Transposon stability was also examined, and it was determined that for two mutants the element was stably maintained in vivo in the absence of selective pressure.

Animals↗