SSJ___SOLE_SOURCE_JUSTIFICATION_UNDER_$150K_10Aug18_CO_TL.pdf

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Attached to
Specific Genetic Analysis Federal contract opportunity
Solicitation number
1232SC18P-931243
Issued by
Department of Agriculture Agricultural Research Service Central Program Planning Coordination and Support

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Sole Source Justifications

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SOLE SOURCE JUSTIFICATION

FOR FEDERAL PROCUREMENTS UNDER SIMPLIFIED ACQUISITION THRESHOLD (i.e. < $150,000)

1. Describe the supply or service to be acquired and the total estimated dollar value:

2. List the proposed vendor/contractor (name, contact, and phone number) and describe the unique knowledge or capabilities of the proposed vendor/contractor: (e.g. your explanation should provide the rationale for using the recommended product to be purchased from a specific vendor/contractor. The justification must clearly explain what is unique about the technical features of the product and/or if the identical product is required to maintain continuity of research data).

3. FAR Authority:

FAR 13.106-1(b)(1)(i).

4. Certification:

I hereby certify that the data provided above is accurate and complete to the best of my knowledge and belief.

Typed/Printed Name and Signature of Technical Representative Date

5. CO Certification:

I hereby determine that the circumstances of this procurement/contract action deem only one source reasonably available. Also, to the best of my knowledge the quoted price is fair and reasonable (see market research supporting documentation in the order file).

Contracting Officer Date

Reviewed By:

Business Service Center (Team Lead/Chief) Date

Jean-Luc Jannink

August 10th, 2018

Text1: The Robert Holley Center in Ithaca, NY has a requirement for the metabolomic analysis of 400 samples of oat seed, including non-targeted Gas Chromatography Mass Spectroscopy, fatty acid targeted GC-MS, and Liquid Chromatography MS in the amount of $58,616.00.
Text2: This requirement can only be fulfilled by the Colorado State University Proteomics and Metabolomics Facility, Fort Collins, CO, 80523.

The analyses that we require must be compatible with data that was generated for Cornell University in 2015 and in 2017. Different facilities will have different sample preparation methods, analysis machines, and statistical feature identification methods. Without a large and costly effort, it will not be possible for us to match up results from a different facility with previous results obtained for Cornell. That will limit the value of the data and will not allow us to achieve our experimental objectives.

2018-08-21T13:45:44-0500
LYNN HULTS
2018-08-21T15:35:37-0400
JENNY MATTE

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