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Biodiversity analysis in the digital era.

John La SalleKristen J WilliamsCraig C Moritz
Published in: Philosophical transactions of the Royal Society of London. Series B, Biological sciences (2017)
This paper explores what the virtual biodiversity e-infrastructure will look like as it takes advantage of advances in 'Big Data' biodiversity informatics and e-research infrastructure, which allow integration of various taxon-level data types (genome, morphology, distribution and species interactions) within a phylogenetic and environmental framework. By overcoming the data scaling problem in ecology, this integrative framework will provide richer information and fast learning to enable a deeper understanding of biodiversity evolution and dynamics in a rapidly changing world. The Atlas of Living Australia is used as one example of the advantages of progressing towards this future. Living in this future will require the adoption of new ways of integrating scientific knowledge into societal decision making.This article is part of the themed issue 'From DNA barcodes to biomes'.
Keyphrases
  • big data
  • artificial intelligence
  • machine learning
  • electronic health record
  • decision making
  • current status
  • healthcare
  • single cell
  • circulating tumor
  • deep learning
  • genome wide
  • cell free
  • nucleic acid