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Analytics Approaches for the Era of 10,000* Genomes *and Counting

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Part of the Lecture Notes in Computer Science book series (LNBI,volume 7292)

Abstract

What does it mean to make data available in a world where not everyone is a bioinformatician, but anyone can sequence a genome? As low-cost sequencing democratizes genome sequencing, it is also democratizing data analysis, with predictably uneven results. Can analytics approaches save us from everything from poorly documented analysis protocols to increasingly compressed and confusing visualizations?

Keywords

  • Genomics
  • analytic provenance
  • visualization

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References

  1. Morrison, S.S., Williams, T., Cain, A.A., Froelich, B., Taylor, C., Verner-Jeffreys, D., Hartnell, R., Oliver, J.D., Baker-Austin, C., Gibas, C.J.: Pyrosequencing-based comparative genome analysis of Vibrio vulnificus environmental isolates. PLoS One (in review)

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  2. Cain, A.A., Kosara, R., Gibas, C.J.: GenoSets: Visual Analytic Methods for Comparative Genomics. PLoS One (in review)

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© 2012 Springer-Verlag Berlin Heidelberg

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Gibas, C.J. (2012). Analytics Approaches for the Era of 10,000* Genomes *and Counting. In: Bleris, L., Măndoiu, I., Schwartz, R., Wang, J. (eds) Bioinformatics Research and Applications. ISBRA 2012. Lecture Notes in Computer Science(), vol 7292. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30191-9_10

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  • DOI: https://doi.org/10.1007/978-3-642-30191-9_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30190-2

  • Online ISBN: 978-3-642-30191-9

  • eBook Packages: Computer ScienceComputer Science (R0)