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Text and Data Mining for Better Microbiology

Publié le 05 avril 2018 par Thérèse Hameau

As part of the OpenMinTeD project, INRA has been working on a text mining application dedicated to food microbiology. This infographic will tell you the story.

They can make food last longer, create new types of cheese and prevent food poisioning. To discover the full potential of microbes, scientists need faster and better ways of evaluating the growing mountain of research in this area.

The French National Institute for Agricultural Research (INRA) has built a text mining process on the OpenMinTeD platform dedicated to microbiology.


What microorganisms live in my cheese?

With a tasty bite of cheese necessarily come some microbial strains. Some of them are well known, but the presence of others can puzzle researchers and they might want to investigate why they are there. A better understanding of microorganisms, their interaction and their adaptation to their environment are important issues for research and industry. It could help improve public health or develop innovative products.

Critical information stored in many public databases

In recent years, developments in molecular technologies have led to an exponential growth of experimental data and publications, many of which are open, however accessible separately. Therefore, it is now crucial for researchers to have bioinformatics infrastructures at their disposal, that propose unified access to both data and related scientific articles. With the right text mining infrastructures and tools, application developers and data managers can rapidly access and process textual data, link them with other data and make the results available for scientists.


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