Welcome!
ALERT ATTENTION ⚠️
On Saturday April 20th, 2024 at 8:00 AM (UTC), emergency site maintenance has been scheduled for iLab Stanford. Details and updates can be found on the Agilent Status Page. For additional information, please contact the Agilent iLab Support by clicking on 'Help' at the top of your account page or by emailing ilab-support@agilent.com.
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| Overview of Services: | Service Rates for Internal Users | |
| Initiate request as internal user | ||
| Library Preparation | ||
| Service Rates for External Users | ||
| Illumina Sequencing | ||
| PacBio Sequencing |
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Links and Resources: Visit our facility website bellow for more information:
http://med.stanford.edu/gssc.html
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Hours of Operations: 9 a.m. - 5 p.m., Monday to Friday
Sample Drop Off Locations: On Campus: CCSR Building Room 0120 -or- Beckman buliding Room 262
Oustside of Campus: 3165 Porter Drive, Room 2260 or 3155 Porter Drive, Room 1208
Recommendation for your Sequencing:
We strongly recommend that you first submit a couple of samples and wait for results before you scale up. That way you know you're not wasting money, and we don't waste machine time, on samples that require tweaking. In fact, if you try to submit many samples from a new experiment, we will require that you first pick two samples to be run, and then the rest of them after we know that they're good. This is in everyone's interest!To minimize the number of reruns and to maximize the chance that you will get good data, we require a certain minimum concentration of the submitted sample and certain ways to measure it (see "Requirements" on the How to Submit page). We will not accept a sample that does not meet those requirements.
Publication Acknowledgement:
As with all Stanford Service Centers, credit must be given to SCGPM's Genome Sequencing Service Center for data that results in a publication. If the work done at Sequencing Service Center produces data resulting in a figure in a publication, you are required to acknowledge SCGPM's Genome Sequencing Service Center in the publication. Further, if staff members provided significant experimental design, data interpretation, or other intellectual contribution (as evaluated by the PI), then it is expected that these individuals will be coauthors on the publication.
