Bioinformatics: Food Detective – a Practical Guide Article Swipe
Stevie A. Bain
,
Daniel Barker
,
Teresa K. Attwood
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.7490/f1000research.1118007.1
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.7490/f1000research.1118007.1
This Practical Guide in the Bringing Bioinformatics into the Classroom series introduces the idea of computers as tools to help understand aspects of biology. In particular, it looks at how DNA sequences can be used to identify specific organisms, why this is important in the food industry, and how this can be used to help detect food fraud. Analyses are run online using sequence data from the 4273pi project website: 4273pi.org.<br><br>Specifically, this Guide introduces a popular Web-based tool for searching biological sequence databases, and shows how to identify different species based on their specific DNA sequences – their ‘barcodes’. On reading the Guide and completing the exercises, you will be able to: explain what is meant by DNA barcoding; search biological sequence databases using the online program BLAST; judge the reliability of database-search results in terms of their statistical significance; and evaluate the biological implications of search results with reference to food safety.
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Metadata
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https://doi.org/10.7490/f1000research.1118007.1Digital Object Identifier
- Title
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Bioinformatics: Food Detective – a Practical GuideWork title
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articleOpenAlex work type
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enPrimary language
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2020Year of publication
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2020-01-01Full publication date if available
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Stevie A. Bain, Daniel Barker, Teresa K. AttwoodList of authors in order
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://doi.org/10.7490/f1000research.1118007.1Direct OA link when available
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Data science, Sequence (biology), Computer science, Reading (process), Biological database, Barcode, World Wide Web, Information retrieval, Bioinformatics, Biology, Genetics, Law, Political science, Operating systemTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2022: 1, 2020: 1Per-year citation counts (last 5 years)
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| citation_normalized_percentile |