Ampliseq is a bioinformatics analysis pipeline used for 16S rRNA amplicon sequencing data.
Amplicon sequencing analysis workflow using DADA2 and QIIME2 - https://nf-co.re/ampliseq
When we run analysis
On request we may be able to run the nf-core “ampliseq” pipeline on your data (on a case-by-case basis). In order to run this pipeline we will require additional information from you. Please let NGI staff know if you would like us to run this pipeline for you and we will give you further information.
- Fastq files
- Primers used for amplification
- Metadata for the samples
- Reference database specific to the amplicon
The workflow processes raw data from FastQ inputs (FastQC), trims primer sequences from the reads (Cutadapt), imports data into QIIME2, generates amplicon sequencing variants (ASV, DADA2), classifies features against the SILVA v132 database, excludes unwanted taxa, produces absolute and relative feature/taxa count tables and plots, plots alpha rarefaction curves, computes alpha and beta diversity indices and plots thereof, and finally calls differentially abundant taxa (ANCOM). See the output documentation for more details of the results.
Last Updated: 24th March 2022