wf-transcriptomes-v202/docs/07_input_parameters.md
2026-06-09 11:58:17 +00:00

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Main Options

Nextflow parameter name Type Description Help Default
fastq string FASTQ reads to analyse. You can provide a single FASTQ, a folder of FASTQs, or a multiplexed folder containing one sub-folder per sample or barcode.
bam string BAM or uBAM reads to analyse. You can provide a single BAM or uBAM, a folder of BAMs, or a multiplexed folder containing one sub-folder per sample or barcode.
ref_genome string Reference genome FASTA. Required in both discover and fixed_annotation modes.
ref_annotation string Reference transcript annotation in GTF or GFF format. Required in both discover and fixed_annotation modes.
transcriptome_mode string How bambu should prepare the transcriptome model. Use discover for reference-guided transcript discovery and quantification, or fixed_annotation for quantification only against the supplied annotation. discover
direct_rna boolean Set this for direct RNA sequencing libraries. False

Read Filtering Options

Nextflow parameter name Type Description Help Default
analyse_unclassified boolean Include unclassified reads from multiplexed input directories. False
analyse_fail boolean Include fail reads from bam_fail and fastq_fail folders found in sample folders on the input path. False

Sample Options

Nextflow parameter name Type Description Help Default
sample_sheet string CSV file describing barcodes, aliases, and optional experimental design columns. For multiplexed runs, the sample sheet should contain both barcode and alias. Additionally, for differential analysis, it must also contain the condition column, and any extra columns named in --covariates.
sample string Single sample name for singleplexed input or to restrict multiplexed analysis to one sample.

Differential Expression Analysis Options

Nextflow parameter name Type Description Help Default
de_analysis boolean Run differential gene expression and differential transcript usage analyses. False
condition_column string Main comparison column in the sample sheet. condition
covariates string Comma-separated extra sample-sheet columns to adjust for, for example batch. Each listed name must exist as a column in the sample sheet.
reference_level string Baseline group for the main comparison column. If omitted, the workflow will use control when that level exists.

Output Options

Nextflow parameter name Type Description Help Default
out_dir string Directory for user-facing workflow outputs. output
igv boolean Generate an IGV configuration file for the aligned BAM outputs. False

Advanced Options

Nextflow parameter name Type Description Help Default
mod_codes string Comma-separated modified base codes to pass to modkit pileup. Provide values accepted by modkit pileup --modified-bases, for example A:a,C:m. If omitted, the workflow infers primary_base:mod_code pairs from the BAM with modkit modbam check-tags.
force_alignment boolean Force re-alignment of input BAM files. Read alignment is skipped if the existing sequence names in the aligned BAM match the provided reference. Enable this if the existing alignments used incorrect minimap2 presets (e.g. missing --splice or direct RNA settings). False
ndr number Optional bambu novel discovery rate override. Lower values are more conservative (higher precision), while higher values are more permissive (higher novel-discovery sensitivity). See the bambu repository for method details.
sqanti_skip_orf boolean Skip ORF prediction during SQANTI3 QC. True