Workflows

Short paired-end read analysis to provide quality analysis, read cleaning and taxonomy assignation

This workflow takes as input a list of paired-end fastqs. Adapters and bad quality bases are removed with cutadapt. Reads are mapped with STAR with ENCODE parameters and genes are counted simultaneously as well as normalized coverage (per million mapped reads) on uniquely mapped reads. The counts are reprocessed to be similar to HTSeq-count output. FPKM are computed with cufflinks and/or with StringTie. The unstranded normalized coverage is computed with bedtools.

This workflow take as input a collection of paired fastq. Remove adapters with cutadapt, map pairs with bowtie2 allowing dovetail. Keep MAPQ30 and concordant pairs. BAM to BED. MACS2 with "ATAC" parameters.

This workflow takes as input a collection of paired fastqs. Remove adapters with cutadapt, map pairs with bowtie2. Keep MAPQ30 and concordant pairs. MACS2 for paired bam.

This workflow takes as input a collection of fastqs (single reads). Remove adapters with cutadapt, map with bowtie2. Keep MAPQ30. MACS2 for bam with fixed extension or model.

This workflow takes as input a collection of paired fastq. It will remove bad quality and adapters with cutadapt. Map with Bowtie2 end-to-end. Will remove reads on MT and unconcordant pairs and pairs with mapping quality below 30 and PCR duplicates. Will compute the pile-up on 5' +- 100bp. Will call peaks and count the number of reads falling in the 1kb region centered on the summit. Will compute 2 normalization for coverage: normalized by million reads and normalized by million reads in peaks. ...

This workflow takes as input a list of single-reads fastqs. Adapters and bad quality bases are removed with cutadapt. Reads are mapped with STAR with ENCODE parameters and genes are counted simultaneously as well as normalized coverage (per million mapped reads) on uniquely mapped reads. The counts are reprocessed to be similar to HTSeq-count output. FPKM are computed with cufflinks and/or with StringTie. The unstranded normalized coverage is computed with bedtools.

Microbiome - Taxonomy Profiling

Nanopore datasets analysis - Phylogenetic Identification - antibiotic resistance genes detection and contigs building

Microbiome - Variant calling and Consensus Building