Abstract
We provide an overview on the state of the art for the Omics technologies, the types of omics data and the bioinformatics resources relevant and related to Omics. We also illustrate the bioinformatics challenges of dealing with high-throughput data. This overview touches several fundamental aspects of Omics and bioinformatics: data standardisation, data sharing, storing Omics data appropriately and exploring Omics data in bioinformatics. Though the principles and concepts presented are true for the various different technological fields, we concentrate in three main Omics fields namely: genomics, transcriptomics and proteomics. Finally we address the integration of Omics data, and provide several useful links for bioinformatics and Omics.
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Acknowledgements
The authors would like to thank Dr. Gabriella Rustici and Dr. Daniel Zerbino for useful insights and information on transcriptomics and genome assembly respectively. The authors would also like to thank Dr. James Watson for useful comments to the manuscript.
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Schneider, M.V., Orchard, S. (2011). Omics Technologies, Data and Bioinformatics Principles. In: Mayer, B. (eds) Bioinformatics for Omics Data. Methods in Molecular Biology, vol 719. Humana Press. https://doi.org/10.1007/978-1-61779-027-0_1
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DOI: https://doi.org/10.1007/978-1-61779-027-0_1
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