Author

C. Gonindard-Melodelima

Centre National de la Recherche ScientifiqueORCID 0000-0001-7945-108XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Assay:metagenomics· 1 Organism:plant (other)· 1

Frequent Co-Authors

Éric CoissaciD· 2 shared Delphine Rioux· 1 shared Didier Piau· 1 shared Frédéric LaporteiD· 1 shared Pierre TaberletiD· 1 shared Sylvain MoinardiD· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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2 shared papersEcology

Éric CoissacORCID

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2 papers

Recent·Most cited

EcologybioRxivPreprintOct 3, 2023

Towards quantitative DNA Metabarcoding: A method to overcome PCR amplification bias

Sylvain Moinard, Didier Piau, Frédéric Laporte…·Éric Coissac

This paper proposes a method to correct PCR amplification bias in DNA metabarcoding using qPCR and a stochastic PCR model, improving quantitative accuracy in biodiversity studies.

23 citations

plant (other)metagenomics

𝕏 PostBluesky

BioinformaticsbioRxivPreprintDec 9, 2019

Assessing the shared variation among high-dimensional data matrices: a modified version of the Procrustean correlation coefficient

Éric Coissac, Christelle Melodelima

The paper introduces a modified Procrustean correlation coefficient to accurately estimate shared variation in high-dimensional biological data.

3 citations

statistical modelbenchmarking

𝕏 PostBluesky