Month: April 2017
Koopmans et al. (2017) BMC Bioinformatics
| References
Koopmans B, Smit AB, Verhage M, Loos M. AHCODA-DB: a data repository with web-based mining tools for the analysis of automated high-content mouse phenomics data. BMC Bioinformatics. 2017 Apr 4;18(1):200. ...
New publication: Sylics AHCODA-DB
| Publications
Our Chief Technology Officer has published a paper about AHCODA-DB, describing a public data repository of mouse phenomics data with standardized quality control and exclusion criteria aimed to enhance robustness ...
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