Abstract
Closing the gap between knowledge of sequence and knowledge of function requires aggressive, integrative use of biological research databases of many different types. For greatest effectiveness, analysis processes and interpretation of analytic results must be guided using relevant knowledge about the systems under investigation. However, this knowledge is often widely scattered and encoded in a variety of formats. In this section, we consider some of the different sources of biological information as well as the software tools that can be used to access these data and to integrate them into an analysis. Bioconductor provides tools for creating, distributing, and accessing annotation resources in ways that have been found effective in workflows for statistical analysis of microarray and other high-throughput assays.
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© 2005 Springer Science+Business Media, Inc.
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Gentleman, R., Carey, V.J., Zhang, J. (2005). Meta-data Resources and Tools in Bioconductor. In: Gentleman, R., Carey, V.J., Huber, W., Irizarry, R.A., Dudoit, S. (eds) Bioinformatics and Computational Biology Solutions Using R and Bioconductor. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/0-387-29362-0_7
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DOI: https://doi.org/10.1007/0-387-29362-0_7
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-25146-2
Online ISBN: 978-0-387-29362-2
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