Using machine learning tools for protein database biocuration assistance
Author:
Funder
Ministerio de Economía y Competitividad (Ministry of Economy and Competitiveness)
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-018-28330-z.pdf
Reference57 articles.
1. Leonelli, S. Data-Centric Biology (The University of Chicago Press, 2016).
2. Marx, V. The big challenges of big data. Nature 498, 255–260 (2013). Technology Feature.
3. Howe, D. et al. Big data: The future of biocuration. Nature 455, 47–50 (2008).
4. Baxevanis, A. & Bateman, A. The importance of biological databases in biological discovery. Current Protocols in Bioinformatics 50, 1.1.1–1.1.8 (2015).
5. Howe, D. G. A statistical approach to identify, monitor, and manage incomplete curated data sets. BMC Bioinformatics 19, 110 (2018).
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