nf-core/mhcquant
Identify and quantify MHC eluted peptides from mass spectrometry raw data
2.1.0
). The latest
stable release is
2.6.0
.
Define where the pipeline should find input data and save output data.
Input raw / mzML files listed in a tsv file (see help for details)
string
^\S+\.tsv$
Use this to specify a sample sheet table including your input raw or mzml files as well as their meta information such as SampleID and Condition. For example:
| ID | Sample | Condition | ReplicateFileName |
| -----|:------------:| ----------:|------------------------------------------:|
| 1 | MM15_Melanom | A | data/MM15_Melanom_W_1_A_standard.raw |
| 2 | MM15_Melanom | B | data/MM15_Melanom_W_1_B_standard.raw |
| 3 | MM17_Melanom | B | data/MM17_Melanom_W_1_B_standard.raw |
--input 'path/samples.tsv'
Path to the output directory where the results will be saved.
string
./results
Email 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.
string
Input FASTA protein database
string
If you have no genome reference available, the pipeline can build one using a FASTA file. This requires additional time and resources, so it's better to use a pre-build index if possible.
Set depending on whether variants should be translated to proteins and included into your fasta for database search.
boolean
Set depending on whether own decoy database should be used
boolean
If you want to use your own decoys, you can specify a dataset that includes decoy sequences. However, each database entry should keep the prefix 'DECOY_'.
One should consider though that this option will then prevent to append variants to the database and if not using reversed decoys the subset refinement FDR option will not work.
If one ms level in the raw ms data is not centroided, specify the level here. (eg. 2)
integer
2
Choose whether the specified ms_level in pick_ms_levels is centroided or not.
boolean
Specify the minimum length of peptides considered after processing
integer
8
Specify the maximum length of peptides considered after processing
integer
12
Specify the fragment mass tolerance used for the comet database search.
number
0.02
For High-Resolution instruments a fragment mass tolerance value of 0.02 is recommended. (See the Comet parameter documentation: eg. 0.02)
Specify the precursor mass tolerance used for the comet database search.
integer
5
For High-Resolution instruments a precursor mass tolerance value of 5ppm is recommended. (eg. 5)
Specify the fragment bin offset used for the comet database search.
integer
For High-Resolution instruments a fragment bin offset of 0 is recommended. (See the Comet parameter documentation: eg. 0)
Specify the maximum number of modifications that should be contained in a peptide sequence match.
integer
3
Specify the number of hits that should be reported for each spectrum.
integer
1
Specify the mass range that peptides should fulfill to be considered for peptide spectrum matching.
string
800:2500
Specify the precursor charge range that peptides should fulfill to be considered for peptide spectrum matching.
string
2:3
Specify which fragmentation method was used in the MS acquisition
string
Specify which enzymatic restriction should be applied
string
unspecific cleavage
for HLA peptides rarely other enzymes are used, however most enzymes such as for example 'Trypsin' are available (see OpenMS enzymes)
Set a maximum retention time shift for the linear rt alignment
integer
300
Specify which fixed modifications should be applied to the database search
string
e.g. 'Carbamidomethyl (C)' (see OpenMS modifications)
Specify which variable modifications should be applied to the database search
string
Oxidation (M)
e.g. 'Oxidation (M)' (see OpenMS modifications)
Include x ions into the peptide spectrum matching
boolean
Include z ions into the peptide spectrum matching
boolean
Include a ions into the peptide spectrum matching
boolean
Include c ions into the peptide spectrum matching
boolean
Include NL ions into the peptide spectrum matching
boolean
Include precursor ions into the peptide spectrum matching
boolean
true
Size of Spectrum batch for Comet processing (Decrease/Increase depending on Memory Availability)
integer
500
Specify a .tsv file containing the information about genomic variants (vcf files < v.4.2) for each sample.
string
| Sample | VCF_FileName |
| -------------| :---------------------:|
| MM15_Melanom | data/MM15_variants.vcf |
| MM17_Melanom | data/MM17_variants.vcf |
Specify the level at which the false discovery rate should be computed.
string
Specify the false discovery rate threshold at which peptide hits should be selected.
number
0.01
Set if MHCquant should be run in SubsetFDR mode
boolean
SubsetFDR makes use of binding predictions applying the tool mhcflurry to subset all PSMs not passing the q-value threshold. If specified the FDR will be refined using Percolator on the subset of predicted binders among all PSMs resulting in an increased identification rate. (Please be aware that this option is only available for MHC class I data of alleles that are supported by mhcflurry)
Affinity threshold (nM) used to define binders for PSM subset selection in the FDR refinement procedure
integer
500
Specify percolator descriptor feature set
integer
See percolator description (https://github.com/percolator/percolator/wiki/Retention-time-and-calibration)
Use klammer retention time features for Percolator rescoring
boolean
https://pubs.acs.org/doi/10.1021/ac070262k
Maximum subset for percolator training iterations
integer
Skip quantification and only yield peptide identifications
boolean
Compute FDR for the targeted approach
string
(Weisser H. and Choudhary J.S. J Proteome Res. 2017 Aug 4)
Specify a cut off probability value for quantification events as a filter
number
Specify a .tsv file containing the MHC alleles of your probes as well as their metadata such as SampleID.
string
| Sample | HLA_Alleles_Class_1 | HLA_Alleles_Class_2 |
| -------------| :----------------------------------------------:| ------------------------------------------:|
| MM15_Melanom | A* 03:01;A* 68:01;B* 27:05;B* 35:03;C* 02:02;C* 04:01 |HLA-DRB1* 01:01;HLA-DQB1* 03:19;HLA-DQA1* 05:01|
| MM17_Melanom | A* 02:01;B* 07:01;B* 26:01;C* 11:01;C* 01:01 |HLA-DRB1* 01:02;HLA-DRB3* 02:02;HLA-DRB4* 01:03|
Set flag depending on whether MHC class 1 binding predictions using the tool mhcflurry should be run.
boolean
Set flag depending on whether MHC class 2 binding predictions using the tool mhcnuggets should be run.
boolean
Specify genomic reference used for variant annotation
string
Specify style of tool used for variant annotation - currently supported
string
Specify whether insertions and deletions should not be considered for variant translation
boolean
true
Specify whether frameshifts should not be considered for variant translation
boolean
true
Specify whether snps should not be considered for variant translation
boolean
Set this option to predict retention times of all identified peptides and possible neoepitopes based on high scoring ids
boolean
Parameters used to describe centralised config profiles. These should not be edited.
Git commit id for Institutional configs.
string
master
Skip MultiQC.
boolean
Base directory for Institutional configs.
string
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.
string
Institutional config name.
string
Institutional config description.
string
Institutional config contact information.
string
Institutional config URL link.
string
Set the top limit for requested resources for any single job.
Maximum number of CPUs that can be requested for any single job.
integer
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.
string
128.GB
^[\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.
string
240.h
^[\d\.]+\.*(s|m|h|d|day)$
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.
boolean
Method used to save pipeline results to output directory.
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.
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.
boolean
File size limit when attaching MultiQC reports to summary emails.
string
25.MB
^\d+(\.\d+)?\.?\s*(K|M|G|T)?B$
Do not use coloured log outputs.
boolean
Custom config file to supply to MultiQC.
string
Directory to keep pipeline Nextflow logs and reports.
string
${params.outdir}/pipeline_info
Boolean whether to validate parameters against the schema at runtime
boolean
true
Show all params when using --help
boolean
Run this workflow with Conda. You can also use '-profile conda' instead of providing this parameter.
boolean
Instead of directly downloading Singularity images for use with Singularity, force the workflow to pull and convert Docker containers instead.
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.