letsR: a new R package for data handling and analysis in macroecology

Vilela, Bruno; Villalobos, Fabricio; Poisot, Timothée

doi:10.1111/2041-210X.12401

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letsR: a new R package for data handling and analysis in macroecology

Author(s): Bruno Vilela , Fabricio Villalobos

Editor(s): Timothée Poisot

Publication date Created: October 2015

Publication date (Print): October 2015

Journal: Methods in Ecology and Evolution

Publisher: Wiley-Blackwell

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PanTHERIA: a species-level database of life history, ecology, and geography of extant and recently extinct mammals

Kate E. Jones, Jon Bielby, Marcel Cardillo … (2009)

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Big data and the future of ecology

Stephanie E. Hampton, Carly Strasser, Joshua Tewksbury … (2013)

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Computational solutions to large-scale data management and analysis.

Garry Nolan, Eric E. Schadt, T Linderman … (2010)

Today we can generate hundreds of gigabases of DNA and RNA sequencing data in a week for less than US$5,000. The astonishing rate of data generation by these low-cost, high-throughput technologies in genomics is being matched by that of other technologies, such as real-time imaging and mass spectrometry-based flow cytometry. Success in the life sciences will depend on our ability to properly interpret the large-scale, high-dimensional data sets that are generated by these technologies, which in turn requires us to adopt advances in informatics. Here we discuss how we can master the different types of computational environments that exist - such as cloud and heterogeneous computing - to successfully tackle our big data problems.