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$ NXF_SYNTAX_PARSER=v2 nextflow run . --help
N E X T F L O W ~ version 26.02.0-edge
Downloading plugin nf-schema@2.6.1
Launching `./main.nf` [astonishing_chandrasekhar] revision: 0c5aca65cf
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,--./,-.
___ __ __ __ ___ /,-._.--~'
|\ | |__ __ / ` / \ |__) |__ } {
| \| | \__, \__/ | \ |___ \`-._,-`-,
`._,._,'
nf-core/proteinannotator 1.1.0dev
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Typical pipeline command:
nextflow run nf-core/proteinannotator -profile <docker/singularity/.../institute> --input samplesheet.csv --outdir <OUTDIR>
help message of that parameter will be printed.
or `--helpFull`.
Input/output options
--input [string] Path to comma-separated file containing information about the samples in the experiment.
--outdir [string] The output directory where the results will be saved. You have to use absolute paths to storage on
Cloud infrastructure.
--email [string] Email address for completion summary.
--multiqc_title [string] MultiQC report title. Printed as page header, used for filename if not otherwise specified.
Generic options
--multiqc_methods_description [string] Custom MultiQC yaml file containing HTML including a methods description.
--modules_testdata_base_path [string] Base URL or local path to location of modules test dataset files
--help [boolean, string] Display the help message.
--help_full [boolean] Display the full detailed help message.
--show_hidden [boolean] Display hidden parameters in the help message (only works when --help or --help_full are provided).
Quality check parameters
--skip_preprocessing [boolean] Skip all default QC steps for sequences (gap trimming, length filtering, validation, duplicate
removal).
--min_seq_length [integer] The minimum allowed sequence length [default: 30]
--max_seq_length [integer] The maximum allowed sequence length [default: 5000]
--remove_duplicates_on_sequence [boolean] Remove duplicate input amino acid sequences, based on the sequence.
Domain annotation parameters
--skip_pfam [boolean] Skip the domain annotation with the Pfam database.
--pfam_db [string] Path to an already installed Pfam HMM database (.hmm.gz).
--pfam_latest_link [string] InterPro hosted link to the latest Pfam HMM database file. [default:
https://ftp.ebi.ac.uk/pub/databases/Pfam/current_release/Pfam-A.hmm.gz]
--skip_funfam [boolean] Skip the domain annotation with the FunFam database.
--funfam_db [string] Path to an already installed FunFam HMM database (.lib.gz).
--funfam_latest_link [string] CATH hosted link to the latest available (v4_3_0) FunFam HMM database file. [default:
https://download.cathdb.info/cath/releases/all-releases/v4_3_0/sequence-data/funfam-hmm3-v4_3_0.lib.gz]
--skip_nmpfams [boolean] Skip the domain annotation with the NMPFams database.
--nmpfams_db [string] Path to an already installed NMPFams HMM database.
--nmpfams_latest_link [string] [default: https://pavlopoulos-lab.org/envofams/databases/hmmer/nmpfamsdb.hmm.gz]
--hmmsearch_evalue_cutoff [number] hmmsearch e-value cutoff threshold for reported results. Modifies the -E parameter of hmmsearch.
[default: 0.001]
Functional annotation parameters
--skip_interproscan [boolean] Run InterProScan [default: false]
--interproscan_db_url [string] Change the database version used for annotation. [default:
https://ftp.ebi.ac.uk/pub/software/unix/iprscan/5/5.72-103.0/interproscan-5.72-103.0-64-bit.tar.gz]
--interproscan_db [string] Path to pre-downloaded InterProScan database.
--interproscan_applications [string] Assigns the database(s) to be used to annotate the coding regions. [default:
Hamap,PANTHER,PIRSF,TIGRFAM,sfld]
--interproscan_enableprecalc [boolean] Pre-calculates residue mutual matches.
Prediction parameters
--skip_s4pred [boolean] Skip the secondary structure prediction.
--s4pred_outfmt [string] Choose the output format (i.e., 'ss2', 'fas', 'horiz') for the s4pred per amino acid probability
predictions (i.e., α-helix, β-strand, coil). Modifies the --outfmt parameter of s4pred run_model.
(accepted: ss2, fas, horiz) [default: ss2]
!! Hiding 18 param(s), use the `--showHidden` parameter to show them !!
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* The pipeline
https://doi.org/10.5281/zenodo.18547735
* The nf-core framework
https://doi.org/10.1038/s41587-020-0439-x
* Software dependencies
https://github.com/nf-core/proteinannotator/blob/master/CITATIONS.md