OUHSC BCS & Transnetyx Colony + AMI
Transnetyx’s cloud-based colony management software, aptly named Colony, manages your mouse records, genotype information, breeding and litter records, and inventory of your mouse lines for colonies managed by OUHSC BCS. As part of OUHSC's commitment to resource efficiency, all labs currently supported by OUHSC BCS can benefit from the powerful tools and features in Colony+AMI (Artificial Mouse Intelligence), helping you identify ways to reduce waste from unnecessary breeding, low-density cages, or excess stock cages and increase your research output, decrease your costs, or both!
Why Transnetyx
Transnetyx is uniquely positioned to help individual research labs and institutions align with policy-driven frameworks, including the New Approach Methodologies (NAMs), the 21st Century Cures Act, and the NIH Gold Standard. Through a broad portfolio of products and services that support scientific rigor and the 3Rs, Transnetyx empowers researchers to reduce waste, advance research, and adopt a more modern, data-driven approach to study design and reporting.
Testimonials from researchers
Our lab regularly checks for excess cages on a weekly basis and the AMI evaluation function has been especially useful to identify these cages as well as older breeding cages including those with long breaks between litters.
Lab Manager & Research Associate
AMI has been an extremely valuable resource that has helped me to assess which breeders are still viable and which have aged out and need to be culled. This allows for the possibility of more productive breeding pairs in regards to project timelines. The user friendly software makes it easier to submit request forms to DLAM.
Lab Manager & Research Associate
One of the pain points of using the request form is that I have to manually identify the mice or cages that need to be culled due to old age or lack of space and type it onto the request form. It was great to see how AMI automatically assessed my colonies with a few clicks to establish the filters to find mice that could be removed from the colony.
PhD Grad Student Research Associate
Steps for your lab to take to reduce cages
Login to your Transnetyx Colony group often (at least 2-4 weeks minimally).
Review Breeder Alerts and Colony Evaluation recommendations to identify possible breeding and/or housing inefficiencies.
Follow the NEW standard procedure for requests using Colony’s Task Request Feature (for Breeding and Cull requests only)
How to leverage AMI’s evaluation to reduce cages
Colony AMI Evaluation for OUHSC Labs
Creating and Exporting Aged Out Mice Report and Tracking Cull List
Taking Action on Excess Stock Cages
Activate your Breeding Plans in the AMI Project Planner
Artificial Mouse Intelligence
More science in every cage.
Manage your colony more efficiently with less effort. Based on your research goals and resources, AMI will:
Guide you to a more efficient cage footprint.
Reduce the number of animals housed over the course of your project.
Optimize your production of viable experimental subjects.
Want more from your Colony?
Transnetyx Support Hub
AMI - Learn how Colony+AMI (Artificial Mouse Intelligence) can transform your lab’s productivity, efficiency, and accuracy through breeder alerts, pedigree draw tool, colony evaluation and cage consolidation suggestions, and a robust project planning tool.
Mice - Learn how to view and sort your mouse records quickly and efficiency and how to leverage Colony+AMI’s sophisticated and customizable data tables for your analysis and reporting needs.
Genotyping - See how Transnetyx’s Automated Genotyping service seamlessly integrates with Colony+AMI to make placing orders, reviewing results, and assigning genotypes quick and easy while eliminating recording errors.
Breedings - Learn how to request breedings, view active and retired breeding records, and how to use Colony for tracking times matings and embryo harvests.
Support HubQuestions? We are here to help!
Contact the Software Implementation Team
For Technical Support | Email: colony@transnetyx.com
Meosha Hudson
