nf-core/epitopeprediction
A bioinformatics best-practice analysis pipeline for epitope prediction and annotation
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.
stringYou 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.
The output directory where the results will be saved. You have to use absolute paths to storage on Cloud infrastructure.
stringEmail address for completion summary.
string^([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.
stringOptions for the genome and proteome reference.
Specifies the Ensembl genome reference version that will be used.
stringgrch37This defines against which human Ensembl genome reference the pipeline performs the analysis including the incorporation of genetic variants. If grch37 or grch38 are specified, the most recent Ensembl Biomart version for genome versions will be used. Alternatively, an Ensembl Biomart (archive) version can be specified, e.g. http://jan2020.archive.ensembl.org/.
Specifies the reference proteome fasta file that is used for self-filtering peptides derived from provided genomic variants.
stringOptions for the peptide prediction step.
Specifies the column name in the input file that contains the peptide sequences.
stringsequenceSpecifies the minimum peptide length.
integer8Specifies the minimum peptide length (not applied when --peptides is specified). Default: MCH class I: 8 aa, MHC class II: 15 aa
Specifies the maximum peptide length.
integer12Specifies the maximum peptide length (not applied when --peptides is specified). Default: MHC class I: 11 aa, MHC class II: 16 aa
Specifies the minimum peptide length for MHC class II peptides.
integer8Specifies the maximum peptide length for MHC class II peptides.
integer25Specifies the prediction tool(s) to use.
stringmhcnuggetsSpecifies the tool(s) to use. Multiple tools can be combined in a list separated by comma.
Available are: mhcflurry, mhcnuggets, mhcnuggetsii,netmhcpan,netmhciipan.
Specifies whether wild-type sequences should be predicted.
booleanSpecifies whether wild-type sequences of mutated peptides should be predicted as well.
Specifies that sequences of proteins, affected by provided variants, will be written to a FASTA file.
booleanSpecifies that sequences of proteins that are affected by the provided genomic variants are written to a FASTA file. The resulting FASTA file will contain the wild-type and mutated protein sequences. Setting this flag will skip the MHC binding prediction entirely. One can provide arbitrary values for alleles and mhc_class in the samplesheet.
Specifies that the output file will be in wide format.
booleanTransforms output file such that for each predictor and allele a column predictor_allele_predictionMetric is created.
Options for optimising the pipeline run execution.
Split VCF file into multiple files by number of variants.
booleanNumber of variants that should be written into one file. Default: number of variants divided by ten
integerNumber of nucleotides between previous and current variant across split.
integer110000This can be used to avoid that variants end up in separate splits that fall onto the same transcript and therefore potentially contribute to the same mutated protein.
Specifies the maximum number of peptide chunks.
integer100Used in combination with --peptides or --proteins. Maximum number of peptide chunks that will be created for parallelisation.
Specifies the minimum number of peptides that should be written into one chunk.
integer5000Used in combination with --peptides or --proteins: minimum number of peptides that should be written into one chunk.
External MHC binding prediction software that is not shipped with the pipeline.
Specifies the path to the JSON file with meta information on external prediction tools.
stringSpecifies the operating system in use (Linux or Darwin). This is only necessary if conda is used.
stringTo use the 'netmhcpan' tool, specify the path to the original software tarball for NetMHCpan 4.0 here.
string^\S+\.tar\.gz$To use the 'netmhciipan' tool, specify the path to the original software tarball for NetMHCIIpan 3.1 here.
string^\S+\.tar\.gz$Parameters used to describe centralised config profiles. These should not be edited.
Git commit id for Institutional configs.
stringmasterProvide git commit id for custom Institutional configs hosted at nf-core/configs. This was implemented for reproducibility purposes. Default: master.
## Download and use config file with following git commit id
--custom_config_version d52db660777c4bf36546ddb188ec530c3ada1b96
Base directory for Institutional configs.
stringhttps://raw.githubusercontent.com/nf-core/configs/masterIf you're running offline, nextflow will not be able to fetch the institutional config files from the internet. If you don't need them, then this is not a problem. If you do need them, you should download the files from the repo and tell nextflow where to find them with the custom_config_base option. For example:
## Download and unzip the config files
cd /path/to/my/configs
wget https://github.com/nf-core/configs/archive/master.zip
unzip master.zip
## Run the pipeline
cd /path/to/my/data
nextflow run /path/to/pipeline/ --custom_config_base /path/to/my/configs/configs-master/
Note that the nf-core/tools helper package has a
downloadcommand to download all required pipeline files + singularity containers + institutional configs in one go for you, to make this process easier.
Institutional config name.
stringInstitutional config description.
stringInstitutional config contact information.
stringInstitutional config URL link.
stringLess common options for the pipeline, typically set in a config file.
Display version and exit.
booleanMethod used to save pipeline results to output directory.
stringThe Nextflow publishDir option specifies which intermediate files should be saved to the output directory. This option tells the pipeline what method should be used to move these files. See Nextflow docs for details.
Email address for completion summary, only when pipeline fails.
string^([a-zA-Z0-9_\-\.]+)@([a-zA-Z0-9_\-\.]+)\.([a-zA-Z]{2,5})$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.
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.
booleanIncoming hook URL for messaging service
stringIncoming hook URL for messaging service. Currently, MS Teams and Slack are supported.
Custom config file to supply to MultiQC.
stringCustom logo file to supply to MultiQC. File name must also be set in the MultiQC config file
stringCustom MultiQC yaml file containing HTML including a methods description.
stringBoolean whether to validate parameters against the schema at runtime
booleantrueBase URL or local path to location of pipeline test dataset files
stringhttps://raw.githubusercontent.com/nf-core/test-datasets/Suffix to add to the trace report filename. Default is the date and time in the format yyyy-MM-dd_HH-mm-ss.
string