Toward collaborative open data science in metabolomics using Jupyter Notebooks and cloud computing

被引:0
作者
Kevin M. Mendez
Leighton Pritchard
Stacey N. Reinke
David I. Broadhurst
机构
[1] Edith Cowan University,Centre for Metabolomics & Computational Biology, School of Science
[2] Strathclyde Institute of Pharmacy & Biomedical Sciences,undefined
[3] University of Strathclyde,undefined
来源
Metabolomics | 2019年 / 15卷
关键词
Open access; Reproducibility; Data science; Statistics; Cloud computing; Jupyter;
D O I
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  • [1] Afgan E(2018)The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update Nucleic Acids Research 46 W537-W544
  • [2] Baker D(2016)1,500 scientists lift the lid on reproducibility Nature 533 452-454
  • [3] Batut B(2018)Guidelines and considerations for the use of system suitability and quality control samples in mass spectrometry assays applied in untargeted clinical metabolomic studies Metabolomics 14 72-196
  • [4] van den Beek M(2006)Statistical strategies for avoiding false discoveries in metabolomics and related experiments Metabolomics 2 171-62
  • [5] Bouvier D(2016)(1)H-NMR urinary metabolomic profiling for diagnosis of gastric cancer British Journal of Cancer 114 59-S68
  • [6] Cech M(2017)Critical review of reporting of the data analysis step in metabolomics Metabolomics 14 7-1495
  • [7] Chilton J(2016)Galaxy-M: A Galaxy workflow for processing and analyzing direct infusion and liquid chromatography mass spectrometry-based metabolomics data GigaScience 5 10-241
  • [8] Clements D(2010)Visualization of omics data for systems biology Nature Methods 7 S56-D786
  • [9] Coraor N(2015)Workflow4Metabolomics: A collaborative research infrastructure for computational metabolomics Bioinformatics (Oxford, England) 31 1493-748
  • [10] Gruning BA(2007)Proposed minimum reporting standards for data analysis in metabolomics Metabolomics 3 231-714