Stanford Center for Genomics and Personalized Medicine (SCGPM)


Overview of Services

 

We currently offer three types of runs:

 

Run type

Machine

Read length

Single End

HiSeq

50 bases

Single End

HiSeq

101 bases

Paired End

HiSeq

2x101 bases

Single End

MiSeq

50 bases

Paired End

MiSeq

2x150 bases

Paired End

MiSeq

2x300 bases


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.

 

 

Getting Started

 

  • Stanford Users:  LOGIN or REGISTER for an iLab account using valid Stanford credentials (SUNet ID).

 

 

 

 

Leadership

 

Hassan Chaib | Director

Phone:  (650) 498-

Email:  hchaib at stanford.edu

 

 

Location and Hours of Operation

 

Sample Drop-Off Location

Hours

SCGPM Sequencing Service Center

Stanford University School of Medicine
R301 Edwards Building
300 Pasteur Drive
Stanford, CA 94305 U.S.A.

 

9 a.m. - 5 p.m., Monday to Friday  

 

 

 

 

 

Sample Drop Off Location Map

 

 

R301 in the Edwards building in the School of Medicine.

 

Be sure to contact Ziming Weng before dropping off samples.

 

 

Links and Resources

 

 

    

Publication Acknowledgement 

 

As with all Stanford Service Centers, credit must be given to SCGPM 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 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.

 

 

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