Researchers at Cornell University and IBM have launched a joint project in which they will use genetic sequencing and big data analysis to help keep the global milk supply safe.
The partnership aims to minimize the chance that hazardous food will reach consumers, prevent food fraud, and reduce spoilage.
The researchers will collect genetic data from the microbiome of raw milk samples in a "real world" scenario, which will be used to form a raw-milk baseline and expand IBM's Consortium for Sequencing the Food Supply Chain bioinformatic analytical tools.
They also will sequence and analyze the genetic code of food microbiomes in order to create tools that detect anomalies in raw milk that represent food safety hazards and possible fraud.
In addition, the researchers will conduct several studies comparing the baseline data of raw milk with known anomalies to create models that can be used for additional studies.
From Cornell Chronicle
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