Define where the pipeline should find input data and save output data.

Path to comma-separated file containing information about the samples in the experiment.

required
type: string
pattern: ^\S+\.csv$

You will need to create a design file with information about the samples in your experiment before running the pipeline. Use this parameter to specify its location. It has to be a comma-separated file with 3 columns, and a header row. See usage docs.

Path to the output directory where the results will be saved.

type: string
default: ./results

Email address for completion summary.

type: string
pattern: ^([a-zA-Z0-9_\-\.]+)@([a-zA-Z0-9_\-\.]+)\.([a-zA-Z]{2,5})$

Set this parameter to your e-mail address to get a summary e-mail with details of the run sent to you when the workflow exits. If set in your user config file (~/.nextflow/config) then you don't need to specify this on the command line for every run.

MultiQC report title. Printed as page header, used for filename if not otherwise specified.

type: string

Save reference data to output directory

type: boolean

Save any technical replicates that were merged to output directory

type: boolean

Save trimmed fastqs to output directory

type: boolean

Save bam files aligned to the spike-in genome to output directory

type: boolean

Save unaligned sequences to output directory

type: boolean

Save alignment intermediates to output directory (WARNING: can be very large)

type: boolean

Select aligner

hidden
type: string
default: bowtie2

Trim galore param

type: integer

Trim galore param

type: integer

Trim galore param

type: integer

Trim galore param

type: integer

Trim galore param

type: integer

Reference genome related files and options required for the workflow.

Name of iGenomes reference.

type: string

If using a reference genome configured in the pipeline using iGenomes, use this parameter to give the ID for the reference. This is then used to build the full paths for all required reference genome files e.g. --genome GRCh38.

See the nf-core website docs for more details.

Path to bowtie2 index

type: string

Path to GTF annotation file

type: string

Path to genome blacklist

type: string

Name of the igenome reference for the spike-in genome

type: string
default: K12-MG1655

Path to spike-in bowtie2 index

type: string

Path to spike-in fasta

type: string

Path to FASTA genome file.

type: string
pattern: ^\S+\.fn?a(sta)?(\.gz)?$

This parameter is mandatory if --genome is not specified. If you don't have a BWA index available this will be generated for you automatically. Combine with --save_reference to save BWA index for future runs.

Directory / URL base for iGenomes references.

hidden
type: string
default: s3://ngi-igenomes/igenomes

Do not load the iGenomes reference config.

hidden
type: boolean

Do not load igenomes.config when running the pipeline. You may choose this option if you observe clashes between custom parameters and those supplied in igenomes.config.

Filter reads below a q-score threshold

type: integer

Deduplicate non-control reads

type: boolean

Normalisation constant

hidden
type: integer
default: 10000

Specifies if the samplesheet contains an IgG control

type: boolean
default: true

Threshold for peak calling when no IgG is present

type: number
default: 0.05

Path to gene bed file

type: string

Minimum number of overlapping replicates needed for a consensus peak

type: integer
default: 1

Run pipeline up to reference preparation

type: boolean

Run pipeline up to input checking

type: boolean

Run pipeline up to pre-alignment

type: boolean

Run pipeline up to alignment

type: boolean

Run pipeline up to q-filtering

type: boolean

Run pipeline up to peak calling

type: boolean

Skips fastqc reporting

type: boolean

Skips trimming

type: boolean

Skips de-duplication

type: boolean

Skips scalefactor normalisation

type: boolean

Skips reporting

type: boolean

Skips igv session generation

type: boolean

Skips deeptools heatmaps

type: boolean

Skips multiqc

type: boolean

Skip upset plot calculation

type: boolean

Parameters used to describe centralised config profiles. These should not be edited.

Git commit id for Institutional configs.

hidden
type: string
default: master

Base directory for Institutional configs.

hidden
type: string
default: https://raw.githubusercontent.com/nf-core/configs/master

If you're running offline, Nextflow will not be able to fetch the institutional config files from the internet. If you don't need them, then this is not a problem. If you do need them, you should download the files from the repo and tell Nextflow where to find them with this parameter.

Institutional configs hostname.

hidden
type: string

Institutional config name.

hidden
type: string

Institutional config description.

hidden
type: string

Institutional config contact information.

hidden
type: string

Institutional config URL link.

hidden
type: string

Set the top limit for requested resources for any single job.

Maximum number of CPUs that can be requested for any single job.

hidden
type: integer
default: 16

Use to set an upper-limit for the CPU requirement for each process. Should be an integer e.g. --max_cpus 1

Maximum amount of memory that can be requested for any single job.

hidden
type: string
default: 128.GB
pattern: ^\d+(\.\d+)?\.?\s*(K|M|G|T)?B$

Use to set an upper-limit for the memory requirement for each process. Should be a string in the format integer-unit e.g. --max_memory '8.GB'

Maximum amount of time that can be requested for any single job.

hidden
type: string
default: 240.h
pattern: ^(\d+\.?\s*(s|m|h|day)\s*)+$

Use to set an upper-limit for the time requirement for each process. Should be a string in the format integer-unit e.g. --max_time '2.h'

Less common options for the pipeline, typically set in a config file.

Display help text.

hidden
type: boolean

Method used to save pipeline results to output directory.

hidden
type: string

The Nextflow publishDir option specifies which intermediate files should be saved to the output directory. This option tells the pipeline what method should be used to move these files. See Nextflow docs for details.

Email address for completion summary, only when pipeline fails.

hidden
type: string
pattern: ^([a-zA-Z0-9_\-\.]+)@([a-zA-Z0-9_\-\.]+)\.([a-zA-Z]{2,5})$

An email address to send a summary email to when the pipeline is completed - ONLY sent if the pipeline does not exit successfully.

Send plain-text email instead of HTML.

hidden
type: boolean

File size limit when attaching MultiQC reports to summary emails.

hidden
type: string
default: 25.MB
pattern: ^\d+(\.\d+)?\.?\s*(K|M|G|T)?B$

Do not use coloured log outputs.

hidden
type: boolean

Custom config file to supply to MultiQC.

hidden
type: string

Directory to keep pipeline Nextflow logs and reports.

hidden
type: string
default: ${params.outdir}/pipeline_info

Boolean whether to validate parameters against the schema at runtime

hidden
type: boolean
default: true

Show all params when using --help

hidden
type: boolean

By default, parameters set as hidden in the schema are not shown on the command line when a user runs with --help. Specifying this option will tell the pipeline to show all parameters.

Run this workflow with Conda. You can also use '-profile conda' instead of providing this parameter.

hidden
type: boolean

Instead of directly downloading Singularity images for use with Singularity, force the workflow to pull and convert Docker containers instead.

hidden
type: boolean

This may be useful for example if you are unable to directly pull Singularity containers to run the pipeline due to http/https proxy issues.