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The nPYc-Toolbox, a Python module for the pre-processing, quality-control and analysis of metabolic profiling datasets.
Sands, Caroline J; Wolfer, Arnaud M; Correia, Gonçalo D S; Sadawi, Noureddin; Ahmed, Arfan; Jiménez, Beatriz; Lewis, Matthew R; Glen, Robert C; Nicholson, Jeremy K; Pearce, Jake T M.
Affiliation
  • Sands CJ; National Phenome Centre and Imperial Clinical Phenotyping Centre, Department of Surgery & Cancer, Imperial College London, London, UK.
  • Wolfer AM; National Phenome Centre and Imperial Clinical Phenotyping Centre, Department of Surgery & Cancer, Imperial College London, London, UK.
  • Correia GDS; National Phenome Centre and Imperial Clinical Phenotyping Centre, Department of Surgery & Cancer, Imperial College London, London, UK.
  • Sadawi N; Division of Integrative Systems Medicine and Digestive Diseases, Department of Surgery & Cancer, Imperial College London, South Kensington, London, UK.
  • Ahmed A; National Phenome Centre and Imperial Clinical Phenotyping Centre, Department of Surgery & Cancer, Imperial College London, London, UK.
  • Jiménez B; National Phenome Centre and Imperial Clinical Phenotyping Centre, Department of Surgery & Cancer, Imperial College London, London, UK.
  • Lewis MR; Division of Integrative Systems Medicine and Digestive Diseases, Department of Surgery & Cancer, Imperial College London, South Kensington, London, UK.
  • Glen RC; National Phenome Centre and Imperial Clinical Phenotyping Centre, Department of Surgery & Cancer, Imperial College London, London, UK.
  • Nicholson JK; Division of Integrative Systems Medicine and Digestive Diseases, Department of Surgery & Cancer, Imperial College London, South Kensington, London, UK.
  • Pearce JTM; Division of Integrative Systems Medicine and Digestive Diseases, Department of Surgery & Cancer, Imperial College London, South Kensington, London, UK.
Bioinformatics ; 35(24): 5359-5360, 2019 12 15.
Article in En | MEDLINE | ID: mdl-31350543
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Metabolomics Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2019 Type: Article Affiliation country: United kingdom
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Metabolomics Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2019 Type: Article Affiliation country: United kingdom