The two primary goals of Core C Bioinformatics and Integrative/Comparative Genomics Core are (1) toprovide the common computational infrastructure and bioinformatics support for high-throughput, systematicdata curation, exchange and translation, and (2) to develop, apply and automate computationalintegrative/comparative genomics methods on microarray-derived transcriptome data, across the differentProject model systems. An integrative and comparative genomics approach will enable each ProgramProject to use diverse muscle and non-muscle transcriptome data sets from all Program Projects and thepublic domain to generate hypotheses about candidate genes, functional dependencies or pathways that areimportant in muscular dystrophies, muscle development and myogenic cell therapy. The approach combinesinformation from public databases of bio-molecular functions and interactions, and multiple-genomesequence data to prioritize further experimental studies in the different model systems. The three aims ofCore C are: (1) to establish an integrative computational infrastructure for data storage, curation andautomated cross-systems matching of genomic data elements; (2) to develop and implement computationalmethods for integrative/comparative functional genomics; and (3) to use integrative/comparative genomicstechniques to systematically identify or infer functional hierarchies underlying developmental aspects ofmuscle cells and specific myopathies for further experimental validation.
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