AHCODA-DB: a data repository with web-based mining tools for the analysis of automated high-content mouse phenomics data.BACKGROUND
 Here, we present AHCODA-DB, a public data repository with standardized quality control and exclusion criteria aimed to enhance robustness of data, enabled with web-based mining tools for the analysis of individually and group-wise collected mouse phenotypic data.  AHCODA-DB allows monitoring in vivo effects of compounds collected from conventional behavioural tests and from automated home-cage experiments assessing spontaneous behaviour, anxiety and cognition without human interference.  AHCODA-DB includes such data from mutant mice (transgenics, knock-out, knock-in), (recombinant) inbred strains, and compound effects in wildtype mice and disease models.  AHCODA-DB provides real time statistical analyses with single mouse resolution and versatile suite of data presentation tools.  On March 9th, 2017 AHCODA-DB contained 650 k data points on 2419 parameters from 1563 mice.


 AHCODA-DB provides users with tools to systematically explore mouse behavioural data, both with positive and negative outcome, published and unpublished, across time and experiments with single mouse resolution.  The standardized (automated) experimental settings and the large current dataset (1563 mice) in AHCODA-DB provide a unique framework for the interpretation of behavioural data and drug effects. 
AHCODA-DB
AHCODA-DB: a data repository with web-based mining tools for the analysis of automated high-content mouse phenomics data.BACKGROUND
 Here, we present AHCODA-DB, a public data repository with standardized quality control and exclusion criteria aimed to enhance robustness of data, enabled with web-based mining tools for the analysis of individually and group-wise collected mouse phenotypic data.  AHCODA-DB allows monitoring in vivo effects of compounds collected from conventional behavioural tests and from automated home-cage experiments assessing spontaneous behaviour, anxiety and cognition without human interference.  AHCODA-DB includes such data from mutant mice (transgenics, knock-out, knock-in), (recombinant) inbred strains, and compound effects in wildtype mice and disease models.  AHCODA-DB provides real time statistical analyses with single mouse resolution and versatile suite of data presentation tools.  On March 9th, 2017 AHCODA-DB contained 650 k data points on 2419 parameters from 1563 mice.


 AHCODA-DB provides users with tools to systematically explore mouse behavioural data, both with positive and negative outcome, published and unpublished, across time and experiments with single mouse resolution.  The standardized (automated) experimental settings and the large current dataset (1563 mice) in AHCODA-DB provide a unique framework for the interpretation of behavioural data and drug effects. 
AHCODA-DB
AHCODA-DB: a data repository with web-based mining tools for the analysis of automated high-content mouse phenomics data.BACKGROUND
 Here, we present AHCODA-DB, a public data repository with standardized quality control and exclusion criteria aimed to enhance robustness of data, enabled with web-based mining tools for the analysis of individually and group-wise collected mouse phenotypic data.  AHCODA-DB allows monitoring in vivo effects of compounds collected from conventional behavioural tests and from automated home-cage experiments assessing spontaneous behaviour, anxiety and cognition without human interference.  AHCODA-DB includes such data from mutant mice (transgenics, knock-out, knock-in), (recombinant) inbred strains, and compound effects in wildtype mice and disease models.  AHCODA-DB provides real time statistical analyses with single mouse resolution and versatile suite of data presentation tools.  On March 9th, 2017 AHCODA-DB contained 650 k data points on 2419 parameters from 1563 mice.


 AHCODA-DB provides users with tools to systematically explore mouse behavioural data, both with positive and negative outcome, published and unpublished, across time and experiments with single mouse resolution.  The standardized (automated) experimental settings and the large current dataset (1563 mice) in AHCODA-DB provide a unique framework for the interpretation of behavioural data and drug effects. 
AHCODA-DB
AHCODA-DB: a data repository with web-based mining tools for the analysis of automated high-content mouse phenomics data.BACKGROUND
 Here, we present AHCODA-DB, a public data repository with standardized quality control and exclusion criteria aimed to enhance robustness of data, enabled with web-based mining tools for the analysis of individually and group-wise collected mouse phenotypic data.  AHCODA-DB allows monitoring in vivo effects of compounds collected from conventional behavioural tests and from automated home-cage experiments assessing spontaneous behaviour, anxiety and cognition without human interference.  AHCODA-DB includes such data from mutant mice (transgenics, knock-out, knock-in), (recombinant) inbred strains, and compound effects in wildtype mice and disease models.  AHCODA-DB provides real time statistical analyses with single mouse resolution and versatile suite of data presentation tools.  On March 9th, 2017 AHCODA-DB contained 650 k data points on 2419 parameters from 1563 mice.


 AHCODA-DB provides users with tools to systematically explore mouse behavioural data, both with positive and negative outcome, published and unpublished, across time and experiments with single mouse resolution.  The standardized (automated) experimental settings and the large current dataset (1563 mice) in AHCODA-DB provide a unique framework for the interpretation of behavioural data and drug effects. 
AHCODA-DB