We are always working on new projects and optimizing workflows, so our list of services offered is always changing. Please reach out to us at bms@dal.ca to see what we can do for you!
How do I submit my samples to the BMS CORE?
Please reach out to us at bms@dal.ca and we will walk you through the sample submission process.
Where should I ship my samples?
Please reach out to us at bms@dal.ca and we will provide you with the shipping details as part of the sample submission process.
What does service XYZ cost?
Every project is different! We have carfully curated cost-models that are always changing based on the fluctuating costs of reagents and the designs of different types of experiments. Please reach out to us at bms@dal.ca for accurate costing of your project if you are just curious or you need the information for a grant proposal.
How should I process my samples?
We are happy to walk you through the types of protocols you should use to process your samples. Please also visit our protocols GitHub page to optain of our latest versions of your validated, step-by-step SOP's.
How long will my analysis take?
It depends! Every experiment is different. We will do our best to give you an estimate at the time of sample submission, but unforseen circumstances may change this. We will always keep you in the loop if we think your samples are going to take longer than expected.
At what stage should I drop off my samples?
It is up to you. We are a full-service core, so you can drop your samples off at any stage during the sample preparation process and we will accomodate.
Can I process and analyze my samples myself?
Absolutely! We are also happy to provide any level of training you are interested in. Please reach out to us at bms@dal.ca to discuss and coordinate.
Do you offer bioinformatic and data analysis services?
We do! Please reach out to us at bms@dal.ca to discuss your potential options regarding general data analysis and extended reporting/analysis options. We also offer a range of data analysis scripts for various standard analysis piplines on our GitHub page.
