Anomaly pipeline
This amplicon sequencing analysis workflow is fully written in R. It is based on Dada2 amplicon sequence variants to reveal microbial communities and Phyloseq R objects to handle datas.
rANOMALY improvements:
- A versatile and customizable workflow, from fastq treatment to statistical analysis.
- Integrating contaminant filtering based on control samples with decontam R package.
- Taxonomic assignment based on IDTAXA, and the abilitie to merge annotation from two databases, with validation step to keep the best assignment.
- Alpha and beta diversity indexes are compared between conditions with integrated statistical analysis (ANOVA, permanova and non-parametric test).
- Three main differential analysis methods (DESeq2, Metacoder, metagenomeSeq) are integrated to decipher differences between communities composition.