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Sending Samples for Processing

Terms of Service

We will not accept responsibility for ANY samples that fail due to inadequate concentration or quality. The user will only be billed for the work performed. In the event that the sample was found to be the source of processing failure, the user shall bear the resulting cost associated with the troubleshooting. We assume that samples submitted to us have met our posted criteria. Additionally, it is the responsibility of the user to keep track of and use their microarrays and reagents prior to the manufacturers’ expiration date. We will not accept responsibility for array and reagent expiration related failures. Thank you for your kind cooperation.

Sending samples for services

  1. To our local users: Come see us! Please complete the sample submission form (links below) and bring with your sample (wet ice only) to B-36 on Yale's West Campus.
  2. To our local users who are unable to see us: For your convenience, there is a drop-off location at 300 George St., Room 2127 and at 300 Cedar St. (TAC), Room S352. Samples are picked up at 8 AM, Tuesdays and Thursdays from 300 George St. and Mondays, Wednesdays and Fridays from TAC. Please complete the sample submission form (links below) and place in a Ziploc bag along with your samples.
  3. To our long distance users: Please complete the sample submission form (links below) and enclose with your samples.
    Ship samples overnight on dry ice to: Shrikant Mane, Yale Center for Genomic Analysis, 300 Heffernan Drive, B-36, West Haven, CT 06516, 203-737-3031.

It is the responsibility of the user to collect any unused sample from us within 90 days of receiving the data. Samples will be discarded without notice after this time frame.

Unsure about something? Please contact or call 203-737-3031.

We strive to provide you with data of the highest quality. If you find that your samples do not meet the requirements for quantity or quality, please contact our facility and a technician will work with you to establish what options are available.

Instructions for submitting Samples

Please follow instructions below to submit your samples.

For Illumina High-throughput Sequencing samples:

For PacBio and Nanopore Sequencing sample:

For Microarray gene expression and genotyping sample:

For 10x Genomics Single Cell RNA-seq sample:

Note to our Users

HIPAA Policies for Sample Submission

Our Facility will not accept samples containing protected health information (PHI) or electronic protected health information (ePHI) that is covered under the Health Insurance Portability and Accountability Act of 1996 (HIPAA). Any individually identifiable health information associated with a sample must be removed by the user before the sample will be accepted. Data that is “individually identifiable” includes any of the 18 identifiers that could be used, either alone or in combination with other information, to identify an individual. These identifiers are:

  • Name
  • Address (all geographic subdivisions smaller than state, including street address, city, county, or ZIP code)
  • All elements (except years) of dates related to an individual (including birth date, admission date, discharge date, date of death, and exact age if over 89)
  • Telephone numbers
  • FAX number
  • Email address
  • Social Security number
  • Medical record number
  • Health plan beneficiary number
  • Account number
  • Certificate/license number
  • Vehicle identifiers and serial numbers, including license plate numbers
  • Device identifiers or serial numbers
  • Web URLs
  • IP address
  • Biometric identifiers, including finger or voice prints
  • Full-face photographic images and any comparable images
  • Any other unique identifying number, characteristic, or code

All of the above identifiers must be removed (de-identification) or sufficiently encoded (anonymization) by the user to prevent re-identification of an individual before samples will be accepted.

Need accessibility assistance?

For accessibility assistance with the sample submission forms, please contact Guilin Wang or Evelyn Ng.