AHCODA-DB: a data repository with web-based mining tools for the analysis of automated high-content mouse phenomics data

Bastijn Koopmans, August B. Smit, Matthijs Verhage, Maarten Loos. AHCODA-DB: a data repository with web-based mining tools for the analysis of automated high-content mouse phenomics data. BMC Bioinformatics, 18(1), 2017. [doi]

@article{KoopmansSVL17,
  title = {AHCODA-DB: a data repository with web-based mining tools for the analysis of automated high-content mouse phenomics data},
  author = {Bastijn Koopmans and August B. Smit and Matthijs Verhage and Maarten Loos},
  year = {2017},
  doi = {10.1186/s12859-017-1612-1},
  url = {https://doi.org/10.1186/s12859-017-1612-1},
  researchr = {https://researchr.org/publication/KoopmansSVL17},
  cites = {0},
  citedby = {0},
  journal = {BMC Bioinformatics},
  volume = {18},
  number = {1},
}