Bérénice Batut

This workflow takes Nanopore fastq(.gz) files and runs Minimap2 to map the reads against a reference genome (human, by default). It filters the output to keep only the unmapped reads and generates mapping statistics that are aggregated into a MultiQC report.

This workflow takes paired-end Illumina fastq(.gz) files and runs Bowtie to map the reads against a reference genome (human, by default) and keep only the reads that do not align. MultiQC is used to aggregate the mapping reports.

This workflow performs quality control and trimming on paired-end Illumina fastq(.gz) files using fastp and aggregates the quality control reports with MultiQC

This workflow constructs Metagenome-Assembled Genomes (MAGs) using SPAdes or MEGAHIT as assemblers, followed by binning with four different tools and refinement using Binette. The resulting MAGs are dereplicated across the entire input sample set, then annotated and evaluated for quality. You can provide pooled reads (for co-assembly/binning), individual read sets, or a combination of both. The input samples must consist of the original reads, which are used for abundance estimation. In all cases, ...