Core Facilities

The CQLS Core Laboratory Facilities serve as a focal point for acquisition of new instrumentation and development of technologies. It provides services, technical expertise, and shared-use instrumentation in areas of genomics and microscopy. The lab works closely with the CQLS Computing and Bioinformatics groups which provide advanced computational resources for data mining, data analysis and database development.

Contact CQLS Core Laboratory Facilities (ALS 3139)

email lab: lab@cqls.oregonstate.edu

Contact individual Core Facilities staff

phone: 541-737-3413

Services Sample Dropoff

  • Apply for an account in RELMS or add billing information
  • Submit sample order in RELMS CQLS Genomics core
  • Self-serve sample drop off is in ALS 3139. Hours from 8:30 am - 5 pm
  • All samples can be dropped off in the -20C freezer/refrigerator just inside the front door of ALS 3139.  There are marked boxes for each service in this freezer.
  • Label your samples with order ID number or with a slip of paper containing your name, your PI's name, date and Order ID#.
  • For timely processing, let us know your samples have arrived.
  • Help will be available by appointment or by ringing a doorbell in ALS 3139.
  • If you need to discuss anything about your samples when dropping them off, please make an appointment ahead of time with the relevant person.

Upcoming Fee Changes

The CQLS is in the process of re-calculating fees. Fees are generally re-calculated yearly but the CQLS hasn't updated fees since 2022. New fees will show up on the CQLS fee page soon and in RELMS. Please contact us if you need new fees early for planning or proposals or with any questions.

 

Genomics Core (ALS 3139)

The CQLS Genomics Core Laboratory has services and instruments in the following areas:

Shared Instrumentation Core (ALS 3139, ALS 3131)

Microscopy Core (ALS 2070)

The CQLS microscopes are open to users around campus. Staff oversees the microscopes and can provide assisted imaging sessions, or training. Independent imaging time on the systems can be reserved once training is completed.Training is a combination of online material in CANVAS and some hands-on training for more complicated systems.