nf-core/bacass
Simple bacterial assembly and annotation pipeline
2.0.0). The latest
stable release is
2.4.0
.
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.
string^\S+\.csv$Path to the output directory where the results will be saved.
string./resultsEmail address for completion summary.
string^([a-zA-Z0-9_\-\.]+)@([a-zA-Z0-9_\-\.]+)\.([a-zA-Z]{2,5})$Path to Kraken2 database.
stringParameters for the assembly
The assembler to use for assembly. Available options are Unicycler, Canu, Miniasm. The latter two are only available for long-read data, whereas Unicycler can be used for short or hybrid assembly projects.
stringunicyclerWhich type of assembly to perform.
stringshortExtra arguments for Unicycler
stringThis can be used to supply extra options to the Canu assembler. Will be ignored when other assemblers are used.
stringWhich assembly polishing method to use.
stringmedakaThe annotation method to annotate the final assembly. Default choice is prokka, but the dfast tool is also available. For the latter, make sure to create your specific config if you’re not happy with the default one provided. See #dfast_config to find out how.
stringprokkaExtra arguments for prokka annotation tool.
stringSpecifies a configuration file for the DFAST annotation method.
stringassets/test_config_dfast.pySkip running Kraken2 classifier on reads.
booleanSkip annotating the assembly with Prokka /DFAST.
booleanSkip running PycoQC on long read input.
booleanSkip polishing the long-read assembly with fast5 input. Will not affect short/hybrid assemblies.
booleanParameters used to describe centralised config profiles. These should not be edited.
Git commit id for Institutional configs.
stringmasterBase directory for Institutional configs.
stringhttps://raw.githubusercontent.com/nf-core/configs/masterInstitutional configs hostname.
stringInstitutional config name.
stringInstitutional config description.
stringInstitutional config contact information.
stringInstitutional config URL link.
stringSet the top limit for requested resources for any single job.
Maximum number of CPUs that can be requested for any single job.
integer16Maximum amount of memory that can be requested for any single job.
string128.GB^\d+(\.\d+)?\.?\s*(K|M|G|T)?B$Maximum amount of time that can be requested for any single job.
string240.h^(\d+\.?\s*(s|m|h|day)\s*)+$Less common options for the pipeline, typically set in a config file.
Display help text.
booleanMethod used to save pipeline results to output directory.
stringMultiQC report title. Printed as page header, used for filename if not otherwise specified.
stringEmail address for completion summary, only when pipeline fails.
string^([a-zA-Z0-9_\-\.]+)@([a-zA-Z0-9_\-\.]+)\.([a-zA-Z]{2,5})$Send plain-text email instead of HTML.
booleanFile size limit when attaching MultiQC reports to summary emails.
string25.MB^\d+(\.\d+)?\.?\s*(K|M|G|T)?B$Do not use coloured log outputs.
booleanCustom config file to supply to MultiQC.
stringDirectory to keep pipeline Nextflow logs and reports.
string${params.outdir}/pipeline_infoBoolean whether to validate parameters against the schema at runtime
booleantrueShow all params when using --help
booleanRun this workflow with Conda. You can also use ‘-profile conda’ instead of providing this parameter.
booleanInstead of directly downloading Singularity images for use with Singularity, force the workflow to pull and convert Docker containers instead.
boolean