Species abundance information improves sequence taxonomy classification accuracy - Qiita data

  • Benjamin D. Kaehler (Contributor)
  • Gavin A. Huttley (Contributor)
  • Daniel McDonald (Contributor)
  • Rob Knight (Contributor)
  • Caporaso J. Gregory Caporaso (Northern Arizona University) (Contributor)
  • Nicholas A. Bokulich (Contributor)

Dataset

Description

QIIME 2 Artifacts containing microbiome samples, organised by EMPO 3 classification.

Used to test q2-clawback.

Downloaded from Qiita. Draws from the following Qiita study ids:

11113[1], 11444, 1716, 10369[2], 990[3], 2080, 1713, 894, 1289, 1883, 1673, 1288, 10353, 2192[4], 10323, 678, 1773, 662, 1799, 864, 1481, 1024[5], 1064, 2182, 10934, 1674, 1795[6], 10273, 10283[7], 10422[8], 804, 10308, 1056[9], 2382[5], 1240, 889, 1041, 1717, 1222, 11149, 11669, 807[10], 10245, 1711, 1721, 910, 1001, 895, 550[11], 1747[12], 713[13], 755, 861, 958[14], 11161[15], 11154[16], 945, 723, 1715, 1714, 10798.

References
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6. Navas-Molina, J. A. et al. in Methods Enzymol 371–444 (2013).
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8. Tripathi, A. et al. mSystems 3 (2018).
9. Delsuc, F. et al. Mol Ecol 23, 1301–1317 (2013).
10. Gibbons, S. M. et al. PLoS ONE 9, e97435 (2014).
11. Caporaso, J. G. et al. Genome Biol 12, R50 (2011).
12. Hyde, E. R. et al. mSystems 1 (2016).
13. Brazelton, W. J., Nelson, B. & Schrenk, M. O. Front Microbiol 2 (2012).
14. Vitaglione, P. et al. Am J Clin Nutr 101, 251–261 (2014).
15. Spirito, C. M., Marzilli, A. M. & Angenent, L. T. Environ Sci Technol 52, 13438–13447 (2018).
16. Pham, V. T. H. et al. Sci Rep 7 (2017).
Date made availableJan 25 2019
PublisherZenodo

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