Badger Hair Genotyping (APHA)
Location: United Kingdom
Source: Open Contracting Data Standard (OCDS)
This Contract is formed of two sampling requirements: Requirement 1: Single Badger Hair DNA extraction for the National Badger Sett Survey (25-28) Requirement 2: DNA extraction from clumps of badger hair. Requirement 1 requires the Supplier to extract DNA from single badger hairs and amplify using Polymerase Chain Reaction (PCR) technology to identify sufficient material to determine which alleles
- Status
- Closed
- Location
- United Kingdom
- Updated
- 3 Nov 2026
- Source
- Open Contracting Data Standard (OCDS)
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Tender Information
Participants
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Status
Original status | complete |
Taiyo status | Closed |
Taiyo last update | 2026-11-03 |
Contact
| Not available for this record. |
Description
Description | This Contract is formed of two sampling requirements: Requirement 1: Single Badger Hair DNA extraction for the National Badger Sett Survey (25-28) Requirement 2: DNA extraction from clumps of badger hair. Requirement 1 requires the Supplier to extract DNA from single badger hairs and amplify using Polymerase Chain Reaction (PCR) technology to identify sufficient material to determine which alleles are present at each pre defined Single Nucleotide Polymorphism (SNP). The output data from this analysis will be used to determine the number of individual badgers. Requirement 2 requires the Supplier to extract DNA from clumps of Badger guard hairs (including roots); while samplers were asked to try to aim for a good number of hairs more than fifteen (number more than 15), this was not always feasible due to the nature of the work, and a minority of samples are of smaller size. The DNA should be processed to identify which specific SNP is present in the individual. The Buyer estimates that due to high rates of within-population homogeneity, and allelic drop out, the panel will need to include approximately five thousand five hundred (5,500) SNPs. |
Location
Country | United Kingdom (UK) |
Source
Source | Open Contracting Data Standard (OCDS) |
URL |
More Details
Record type | Tender |
Article published date | 2026-08-02 |
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