Avoiding quantification bias in metabarcoding: Application of a cell biovolume correction factor in diatom molecular biomonitoring

By Valentin Vasselon, Agnès Bouchez, Frédéric Rimet, S. Jacquet, R. Trobajo, M. Corniquel, K. Tapolczai, I. Domaizon. 2017

120 citations recorded by the source corpus.

Subfields: Biomaterials, Ecology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/e291f04fc16bcb7e0aa7fddd9288d9107736a92f

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In Ecology

1. Austen C. Thomas
2. J. Eveson
3. Elizabeth Clare
4. L. Clarke
5. B. Deagle

In Molecular Biology

1. Austen C. Thomas
2. Elizabeth Clare
3. L. Clarke
4. B. Deagle

Citations in the corpus

• Counting with DNA in metabarcoding studies: How should we convert sequence reads to dietary data? (2018, background): “For the most accurate diet estimates, correction factors can be developed to take into account known biological differences between taxa in mixtures (e.g., gene copy number differences; Angly et al., 2014; Vasselon et al., 2018).”