CEFAS23-144 Contract for PATHSAFE Pathogen machine learning
This sits in the lower-middle of the Engineering & Architecture band — a mid-scale opportunity. Based on 33,646 valued Engineering & Architecture tenders in our corpus.
Background: As part of the Pathogen Surveillance in Agriculture, Food and Environment (PATHSAFE) programme, Cefas are conducting pilot surveillance studies for key foodborne disease pathogens.
Cefas have collected and analysed weekly river water samples over a time series of 2 x 3 month periods.
Additional analyses of these samples and data generated is required to generate a tool for predicting the risk of foodborne disease in river catchments and shellfish harvesting areas.
Requirement: Cefas require specialised services to generate 16S rRNA sequence data from river water samples and the subsequent bioinformatic analyses of 16S rRNA and whole genome sequences via a customised pipeline.
A machine-learning method is required to be developed for the rapid analysis and interpretation of 16S data, along with a dashboard and customised web platform for visualisation of 16S and microbial genomic results.
DNA samples will be shipped from the UK to UAB by the Environment Agency at nocost to UAB.
Whole genome sequence data will be provided to UAB by Cefas.
What the supplier must deliver
Additional analyses of these samples and data
Additional analyses of these samples and data generated is required to generate a tool for predicting the risk of foodborne disease in river catchments and shellfish harvesting areas.
A machine-learning method is required to
A machine-learning method is required to be developed for the rapid analysis and interpretation of 16S data, along with a.
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- OCID
- fa2c16ad-1b64-48b7-82b1-0baf005e3c41
- Stage
- contract · Contract
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- Contracts Finder
- Buyer ref
- CF-0209500D8d000003VQwdEAG
Contains public sector information licensed under the Open Government Licence v3.0. Source data © Crown copyright.
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