MELODI specifications


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


  • person_outline Benjamin Elsworth

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Publication for Mining Enriched Literature Objects to Derive Intermediates

MELODI citation


MELODI: Mining Enriched Literature Objects to Derive Intermediates

Int J Epidemiol
PMCID: 5913624
PMID: 29342271
DOI: 10.1093/ije/dyx251

[…] in prostate cancer and can be identified by overexpression of ERG in prostate carcinomas.Much work has been done on elucidating the mechanism by which ERG is associated with prostate cancer. We used MELODI, therefore, to assess the literature on ERG and prostate cancer. Article sets for ‘TMPRSS2:ERG or ETS-related gene’ and ‘prostate cancer’ were generated and compared (1 March 2017) using 867 an […]

MELODI 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
MELODI 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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