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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Projects: bioconductor: InterMineR

https://packages.ecosyste.ms/registries/bioconductor.org/packages/InterMineR

R Interface with InterMine-Powered Databases
3 versions
Latest release: over 1 year ago
9,112 downloads total

Enhanced Analysis
Educational Contributors: [email protected]
Repository Activity:
Repository Owner: InterMine (organization)
Open source biological data warehouse developed at the University of Cambridge Academic
README Analysis:
Science Score: 100/100
Starting Score: 100 points
Bonuses:
  • +8 Academic maintainer emails
    1 maintainers with academic email addresses
  • +20 Educational commit emails
    1 contributors with educational email addresses
  • +20 Academic repository owner
    Repository owned by academic institution
  • +15 Institutional repository owner
    Repository owned by research institution
  • +10 Science terms in README
    5 scientific terms found in README
Penalties:
  • -10 No science terms in description
    No scientific terms found in description
Very Likely Science (100)

Papers Mentioning InterMineR 3

10.1186/s12872-021-02092-5
The GEnetic Syntax Score: a genetic risk assessment implementation tool grading the complexity of coronary artery disease—rationale and design of the GESS study
Cited by: 11
Author(s): Ioannis S. Vizirianakis, Fani Chatzopoulou, Αndreas S. Papazoglou, Efstratios Karagiannidis, Georgios Sofdis, Nikolaos Stalikas, Christos Stefopoulos, Konstantinos Kyritsis, Nikolaos Mittas, Nikoleta F. Theodoroula, Aggeliki Lampri, Eleni Mezarli, Αναστάσιος Κάρτας, Dimitrios Chatzidimitriou, Anna Papa-Konidari, Eleftherios Angelis, Ηaralambos Karvounis, Georgios Sianos
Software Mentions: 7
Published: about 4 years ago
10.1093/bioinformatics/btz039
InterMineR: an R package for InterMine databases
Cited by: 19
Author(s): Konstantinos Kyritsis, Bing Wang, Julie Sullivan, Rachel Lyne, Gos Micklem
Software Mentions: 2
Published: over 6 years ago
10.1371/journal.pone.0244157
A proteomics-based method for identifying antigens within immune complexes
Cited by: 4
Author(s): Stephanie Menikou, Andrew McArdle, Mingshi Li, Myrsini Kaforou, Paul Langford, Michael Levin
Software Mentions: 1
Published: over 4 years ago