# ANOMALY: AmplicoN wOrkflow for Microbial community AnaLYsis

Sébastien Theil, Etienne Rifa

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To cite this version:

Sébastien Theil, Etienne Rifa. ANOMALY: AmplicoN wOrkflow for Microbial community AnaLYsis. 5. Colloque de Génomique Environnementale, Oct 2019, La Rochelle, France. hal-02340484

HAL Id: hal-02340484

https://hal.science/hal-02340484

Submitted on 5 Jun 2020

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Distributed under a Creative Commons Attribution 4.0 International License
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INRA
SCIENCE & IMPACT

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UMRF
Fromage

# ANOMALY : AMPLICON WORKFLOW FOR MICROBIAL COMMUNITY ANALYSIS

Sebastien Theil¹, Etienne Rifa¹

¹Université Clermont Auvergne, INRA, VetAgro Sup, UMRF Unité Mixte de Recherche sur le Fromage, 20 côte de Reyne, 15000 Aurillac, France

## ANOMALY

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## Conclusions

ANOMALY uses latest approved methods like :

* **Amplicon sequence variant** allows more resolution in taxonomic unit detection

* **Double taxonomic assignment** with environment dedicated and general database increases accuracy

* **Contamination control** reduces interpretation errors

* **Integrated statistical analysis** allowing reproducibility, all global analysis in one tool.

* **Constant development** with regular updates.

Available on **git** repository at :
https://forgemia.inra.fr/umrf/anomaly

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INRA
SCIENCE & IMPACT

UMRF
20, côte de Reyne
15000 AURILLAC
https://www6.ara.inra.fr/umrf

04.71.45.64.10

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