# ============================================================================ # Config file for Sequana_mapper pipeline # ==========================================[ Sections for the users ]======== # # One of input_directory, input_pattern and input_samples must be provided # If input_directory provided, use it otherwise if input_pattern provided, # use it, otherwise use input_samples. # ============================================================================ sequana_wrappers: v24.1.14 input_directory: input_readtag: _R[12]_ input_pattern: '*fastq.gz' ########################################################## # general: mapper: bwa reference_file: "" annotation_file: "" create_bigwig: false apptainers: bamtools: https://zenodo.org/record/10211475/files/bamtools_2.5.2.img bedtools: https://zenodo.org/record/7341710/files/sequana_tools_0.14.5.img bowtie2: https://zenodo.org/record/7341710/files/sequana_tools_0.14.5.img bwa: https://zenodo.org/record/7341710/files/sequana_tools_0.14.5.img deeptools: https://zenodo.org/record/7341710/files/sequana_tools_0.14.5.img graphviz: https://zenodo.org/record/7928262/files/graphviz_7.0.5.img minimap2: https://zenodo.org/record/7341710/files/sequana_tools_0.14.5.img multiqc: https://zenodo.org/record/10205070/files/multiqc_1.16.0.img samtools: https://zenodo.org/record/7341710/files/sequana_tools_0.14.5.img sequana_coverage: https://zenodo.org/record/10460105/files/sequana_0.16.5.img seqkit: https://zenodo.org/record/7821924/files/seqkit_2.4.0.img subread: https://zenodo.org/record/7341710/files/sequana_tools_0.14.5.img ############################################################################## # samtools_depth # # :Parameters: # # - max_depth: by default max depth is 20,000 but can be changed here samtools_depth: max_depth: 20000 resources: mem: 8G ############################################################################## # BWA MEM indexing # bwa_index: options: '' threads: 4 resources: mem: 8G ############################################################################## # BAM alignment indexing # bam_indexing: resources: mem: 8G bam2bigwig: resources: mem: 8G filtering_bam: resources: mem: 8G bwa: index_algorithm: is options: -T 30 -M threads: 4 tmp_directory: ./tmp resources: mem: 8G bwa_split: nreads: 1000000 index_algorithm: is options: -T 30 -M threads: 4 tmp_directory: ./tmp resources: mem: 8G minimap2: options: '' threads: 4 resources: mem: 8G bowtie2: options: '' threads: 4 resources: mem: 8G bowtie2_index: options: '' threads: 4 resources: mem: 8G bamtools_stats: resources: mem: 8G feature_counts: do: false options: '' gff: '' feature: gene attribute: ID threads: 4 resources: mem: 8G ############################################################################# # # :Parameters: # # :param circular: is your genome circular or not ? # :param double_threshold: double threshold for clustering. Keep 0.5 if you do # not know. Otherwise, checkout the online documentation on # sequana.readthedocs.io # :param genbank_file: optional genbank # :param high_threshold: # :param low_threshold: # :param mixture_models: keep to 2. # :param reference_file: optional fasta file corresponding to you mapped #i data. Used for GC plot only # :param window: the W parameter of the running median. Keep as long as twice # the deleted/depleted/duplicated you want to identify or to avoid. short # genome will be set to genome length divided by 5 automatically. # :param chunksize: for large genomes, split the data into chunks # :param binning: for large genomes, merge data into bins of this size. You will # loose resolution: bins are merged and averaged indeed # :param cnv_clustering: further clustering to merge detected events whose # distance is smaller than this parameter # sequana_coverage: do: true circular: true window_size: 10001 chunksize: 5000000 double_threshold: 0.5 gc_window_size: 201 genbank_file: '' high_threshold: 4.0 low_threshold: -4.0 mixture_models: 2 reference_file: '' options: "" resources: mem: 8G ############################################################################# ## MultiQC aggregates results from bioinformatics analyses across many ## samples into a single report. ## ## :Parameters: ## ## - options: any options recognised by multiqc ## - config_file: by default, we use sequana RNA-seq multiqc_config file. ## If you want your own multiqc, fill this entry multiqc: options: -p -f modules: sequana_bamtools_stats sequana_coverage input_directory: . config_file: multiqc_config.yaml resources: mem: 8G