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benchmarking_pathogenscreening.config
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51 lines (47 loc) · 1.86 KB
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/*
* -------------------------------------------------
* Nextflow config file for running tests
* -------------------------------------------------
* Defines bundled input files and everything required
* to run a fast and simple test. Use as follows:
* nextflow run nf-core/eager -profile test, docker (or singularity, or conda)
*/
params {
config_profile_name = 'nf-core/eager benchmarking - pathogen screening profile'
config_profile_description = "A 'fullsized' benchmarking profile for deep screening pathogen aDNA data"
//Input data
input = 'https://github.com/nf-core/test-datasets/raw/eager/testdata/Benchmarking/benchmarking_pathogenscreening.tsv'
// Genome references
fasta = 'https://hgdownload.soe.ucsc.edu/goldenPath/hg19/bigZips/hg19.fa.gz'
complexity_filter_poly_g = true
bwaalnn = 0.01
bwaalnl = 10000
run_bam_filtering = true
bam_discard_unmapped = true
bam_unmapped_type = 'fastq'
dedupper = 'markduplicates'
run_mtnucratio = true
run_sexdeterrmine = true
run_nuclear_contamination = true
sexdeterrmine_bedfile = 'https://github.com/nf-core/test-datasets/raw/eager/reference/Human/1240K.pos.list_hs37d5.0based.bed.gz'
run_nuclear_contamination = true
run_metagenomic_screening = true
metagenomic_tool = 'malt'
run_maltextract = true
percent_identity = 90
malt_top_percent = 1
malt_min_support_mode = 'reads'
metagenomic_min_support_reads = 1
malt_max_queries = 100
malt_memory_mode = 'load'
maltextract_taxon_list = 'https://raw.githubusercontent.com/rhuebler/HOPS/external/Resources/default_list.txt'
maltextract_filter = 'def_anc'
maltextract_toppercent = 0.01
maltextract_destackingoff = false
maltextract_downsamplingoff = false
maltextract_duplicateremovaloff = false
maltextract_matches = false
maltextract_megansummary = true
maltextract_percentidentity = 90.0
maltextract_topalignment = false
}