eRah: A computational tool integrating spectral deconvolution and alignment with quantification and identification of metabolites in GCMS- based metabolomics

Study details

Source ID

https://identifiers.org/metabolights:MTBLS321

Title

eRah: A computational tool integrating spectral deconvolution and alignment with quantification and identification of metabolites in GCMS- based metabolomics

Summary

eRah tool for metabolite analysis in GC-MS data

Observation

GC-TOF MS data from plasma samples of adolescents

Findings

eRah automates metabolite identification and quantification, validated against other software

Disease terms

hyperinsulinaemic androgen excess

Gene terms

—

Chemical terms

—

Organisms

—

Raw data (JSON) Show

Also available at /api/study/https://identifiers.org/metabolights:MTBLS321.

{
  "@type": "Dataset",
  "integmet_study": "MTBLS321",
  "mesh_disease_id": [
    "https://identifiers.org/mesh:D014770"
  ],
  "mesh_disease_pubtator_kw": [
    "hyperinsulinaemic androgen excess"
  ],
  "source_id": "https://identifiers.org/metabolights:MTBLS321",
  "study_findings": "eRah automates metabolite identification and quantification, validated against other software",
  "study_observation": "GC-TOF MS data from plasma samples of adolescents",
  "study_summary": "eRah tool for metabolite analysis in GC-MS data",
  "study_title_original": "eRah: A computational tool integrating spectral deconvolution and alignment with quantification and identification of metabolites in GCMS- based metabolomics"
}