Welcome!
ALERT iLab will be at Stanford University for a Lunch and Learn on May 12!
We invite all Stanford Core Managers and Financial Approvers to attend.
Action: Please complete the Google Sign-Up Form
When: May 12, 2026
Time: 9am – 4pm (Morning sessions are workshops followed by afternoon consultations for those who need it)
Venue: Stanford Bass Biology 121
Agenda: Download the Proposed Workshop Agenda, will firm up 2 weeks before the workshop
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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.
Hassan Chaib | Director
Phone: (650) 498-
Email: hchaib at stanford.edu
|
Sample Drop-Off Location |
Hours |
|
SCGPM Sequencing Service Center Stanford University School of Medicine
|
9 a.m. - 5 p.m., Monday to Friday
|
|
|
R301 in the Edwards building in the School of Medicine.
Be sure to contact Ziming Weng before dropping off samples. |
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.
