Author

Miriam I. Brandt

Centre National de la Recherche ScientifiqueORCID 0000-0002-5734-0087Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:metagenomics· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:clustering· 1 Research Focus:ecology & biodiversity· 1

Frequent Co-Authors

Blandine TroucheiD· 2 shared Julie PoulainiD· 2 shared Patrick WinckeriD· 2 shared Sophie Arnaud‐HaondiD· 2 shared Anders LanzéniD· 1 shared Andrea BagiiD· 1 shared Aud LarseniD· 1 shared Babett GüntheriD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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2 shared papersBioinformatics

Blandine TroucheORCID

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3 papers

Recent·Most cited

MicrobiologybioRxivPreprintJul 29, 2026

Taxonomic vs. Functional Diversity for the Impact Assessment of Offshore Oil & Gas Activities: An Exploratory Study on Benthic Prokaryotes

Andrea Bagi, Anders Lanzén, Jon Thomassen Hestetun…·Miriam I. Brandt

This study compares taxonomic and functional diversity approaches to assess environmental impact of offshore oil & gas activities on benthic prokaryotes using multiple sequencing methods.

DOI 10.64898/2026.07.29.741444

metagenomicsstatistical model

BioinformaticsMolecular Ecology ResourcesPeer-reviewedApr 9, 2021

A flexible pipeline combining clustering and correction tools for prokaryotic and eukaryotic metabarcoding

Miriam I. Brandt, Blandine Trouche, Laure Quintric…·Sophie Arnaud‐Haond

The paper develops a flexible metabarcoding pipeline for prokaryotic and eukaryotic data, showing clustering and LULU-curation improve biodiversity inventory reliability.

94 citationstop 1%

metagenomicsstatistical model

GenomicsFrontiers in Marine SciencePeer-reviewedMay 8, 2020

An assessment of environmental metabarcoding protocols aiming at favouring contemporary biodiversity in inventories of deep-sea communities

Miriam I. Brandt, Blandine Trouche, Nicolas Henry…·Sophie Arnaud‐Haond

This study evaluates eDNA metabarcoding protocols for deep-sea biodiversity, finding that DNA is more reliable than RNA and larger sediment samples improve accuracy.

47 citations

metagenomicsstatistical model