MELODI specifications

Unique identifier:
OMICS_17054
Interface:
Web user interface
Programming languages:
Python
Stability:
Stable
Name:
Mining Enriched Literature Objects to Derive Intermediates
Restrictions to use:
None
Computer skills:
Basic
Maintained:
Yes

MELODI support

Maintainer

  • Benjamin Elsworth <>

Additional information

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Publications

Institution(s)

MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, UK; Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, VC, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, VC, Australia; Physical Activity Laboratory, Baker Heart and Diabetes Institute, Melbourne, VC, Australia

Funding source(s)

Supported by a Cancer Research UK Programme Grant, the Integrative Cancer Epidemiology Programme (C18281/A19169) and the UK Medical Research Council (MRC Integrative Epidemiology Unit, MC UU 12013/8; by a UICC Yamagiwa-Yoshida Memorial International Cancer Study Grant (YY1/16/422204) and a Fellowship from the National Breast Cancer Foundation (ECF-15-012).

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