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Pipelines: panoply_main_internal
Performs single-omic analysis for a given -ome (e.g. proteome, transcriptomic, phosphoproteome, etc.). Use panoply_main to run this pipeline along with additional proteogenomic analyses, if RNA and CNA data are available.
This pipeline executes the following modules:
- panoply_association_workflow
- panoply_blacksheep_workflow
- panoply_ssgsea_workflow
- panoply_nmf_internal_workflow
- panoply_immune_analysis_workflow (transcriptomics only)
- single-sample PTM-SEA (phosphoproteome only)
-
job_identifier
: (String) An identifier name given to the job -
input_ome
: (.gct
file) Input ome data matrix -
sample_annotation
: (File, default = this.annotation_ss) The annotation file for the given ome data -
groups_file
: (File, default = this.groups_ss) The annotation file for the given ome data, subsetted to annotations of interest and used for analyses. Can be manually overriden for relevant modules (below). -
yaml
: (.yaml
file) parameters inyaml
format
-
run_ptmsea
: (String, default =false
)true
if phosphoproteome data is being run and ptmsea analysis is desired or "false" to skip (this module takes additional time and higher cost to run) -
run_nmf
: (String, default =true
)true
if nmf analysis is desired orfalse
to skip
-
sample_na_max
: please seesample_na_max
input parameter in panoply_association -
nmiss_factor
: please seenmiss_factor
input parameter in panoply_association -
duplicate_gene_policy
: please seeduplicate_gene_policy
input parameter in panoply_harmonize -
gene_id_col
: please seegene_id_col
input parameter in panoply_harmonize -
standalone
: (String, default =false
) set totrue
to run as a self-contained module; when runningpanoply_main
pipeline usefalse
-
geneset_db
: (String, default = this.gseaDB) please seegene_set_database
input parameter in panoply_ssgsea -
ptm_db
: (String, default = this.ptmseaDB) this is thegene_set_database
for runningptmsea
By default, all analyses take groups_file
as the default annotations-file. However, for certain modules it may be desireable to exclude, add, or otherwise customize the annotations used. The following parameters allow groups-files to be overridden on a module-specific basis:
-
groups_file_association
: please seegroupsFile
input parameter in panoply_association. Overrides defaultgroups_file
. -
groups_file_blacksheep
: please seegroupsFile
input parameter in panoply_blacksheep. Overrides defaultgroups_file
. -
groups_file_immune
: please seegroupsFile
input parameter in panoply_immune_analysis. Overrides defaultgroups_file
. -
groups_file_nmf
: please seegroups_file
input parameter in panoply_nmf_postprocess. Overrides defaultgroups_file
.
panoply_main_internal
produces a tarfile and report file for each of its modules
-
association_tar
: tarfile output of panoply_association -
ssgsea_assoc_tars
: ssGSEA results for all annotations analyzed in panoply_association -
association_report
: report produced by panoply_association_report -
blacksheep_tar
: tarfile output of panoply_blacksheep -
blacksheep_report
: report produced by panoply_blacksheep_report -
ssgsea_ome_tar
: tarfile output of panoply_ssgsea -
ssgsea_ome_report
: report produced by panoply_ssgsea_report -
so_nmf_results
: tarfile output of panoply_nmf, containing the results of NMF clustering -
so_nmf_figures
: tarfile output of panoply_nmf_postprocess, containing various postprocessing and figures from NMF analysis -
so_nmf_report
: report produced by panoply_nmf_report -
so_nmf_ssgsea_tar
: ssGSEA results on the W-matrix from NMF results; GCT produced by panoply_nmf_postprocess -
so_nmf_ssgsea_report
: report produced by panoply_ssgsea_report for NMF clustering results -
normalized_data_table.gct
: normalized data matrix produced by panoply_normalize_ms_data -
immune_analysis_tar
: tarfile output of panoply_immune_analysis, if applicable -
immune_report
: report produced by panoply_immune_analysis_report, if applicable -
ptmsea_tar
: tarfile output of PTM-SEA results produced by panoply_ssgsea, if applicable -
ptmsea_ome_report
: report of PTM-SEA results produced by panoply_ssgsea_report, if applicable
- Home
- PANOPLY Tutorial
- Data Preparation Modules
-
Data Analysis Modules
- panoply_association
- panoply_blacksheep
- panoply_clumps_ptm_diffexp
- panoply_clumps_ptm
- panoply_clumps_ptm_postprocess
- panoply_cmap_analysis
- panoply_cna_correlation
- panoply_cons_clust
- panoply_immune_analysis
- panoply_metaboanalyst
- panoply_mimp
- panoply_nmf
- panoply_nmf_postprocess
- panoply_omicsev
- panoply_quilts
- panoply_rna_protein_correlation
- panoply_sankey
- panoply_ssgsea
-
Report Modules
- panoply_association_report
- panoply_blacksheep_report
- panoply_clumps_ptm_report
- panoply_cna_correlation_report
- panoply_cons_clust_report
- panoply_immune_analysis_report
- panoply_metaboanalyst_report
- panoply_mimp_report
- panoply_nmf_report
- panoply_normalize_ms_data_report
- panoply_rna_protein_correlation_report
- panoply_sampleqc_report
- panoply_sankey_report
- panoply_ssgsea_report
- Support Modules
- Navigating Results
- PANOPLY without Terra
- Customizing PANOPLY
-
Workflows
- panoply_association_workflow
- panoply_blacksheep_workflow
- panoply_clumps_ptm_workflow
- panoply_immune_analysis_workflow
- panoply_metaboanalyst_workflow
- panoply_nmf_workflow
- panoply_nmf_internal_workflow
- panoply_normalize_filter_workflow
- panoply_process_SM_table
- panoply_sankey_workflow
- panoply_ssgsea_workflow
- Pipelines