BIOINFORMATICS CORE

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This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. There is an explosion of biological information. The GenBank database has been growing at a steady exponential tenfold rate every five years, and currently contains over 38 gigabases of sequence data. Secondary databases are also growing at a similar rate. Programs to analyze these data are proliferating. We will provide expert advice on the analysis of biopolymer sequence and microarray data. Consulting sessions may result in a collaborative effort when the analysis involves a substantial effort from core staff. The bioinformatics core will make several software systems available for the analysis of microarray expression data such as: the GeneSpring software; TM4, the TIGR microarray suite; SAM (Significance Analysis of Microarrays); gene ontology software such as AmiGO and DAG-Edit; and relevant components of the Bioconductor package. A number of sequence analysis tools including: BioPerl, the EMBOSS suite, ClustalW, BLAST, PHYLIP, and HMMER will be made available. General purpose statistical software such as R will be accessible. In addition, software developed by the members of the Brown Center for Computational Molecular Biology, such as the Gibbs module sampler will be offered. The Center will also provide basic analyses of array data and statistical consulting to aid investigators in the design of experiments and the interpretation of results. Access will be provided to a variety of sequence databases. Support for other software tools relevant to computational molecular biology will be available as well as assistance in searching for, acquiring, and installing new software.