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new branch to make config for uncharged libs
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# new config for running uncharged nanopore tRNA-seq libraries (to be edited) | ||
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# either a path to a basecalling model to use with dorado or a model selection name to specify model to download and use | ||
base_calling_model: "resources/models/[email protected]" | ||
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# either FAST5 or POD5, if FAST5 then these files will be converted to pod5 before rebasecalling | ||
input_format: "POD5" | ||
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# path to fasta file to use for bwa alignment. | ||
# a BWA index will be built if it does not exist for this fasta file | ||
fasta: "resources/ref/sacCer3-mature-tRNAs-dual-adapt-v2.fa" | ||
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# If a kmer table if provided then the pipeline will use get_signal_metrics.py to extract metrics using remora | ||
# from: https://github.com/nanoporetech/kmer_models/tree/master/rna004 | ||
remora_kmer_table: "resources/kmers/9mer_levels_v1.txt" | ||
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# read classification model - remora trained model to classify charged vs uncharged reads | ||
remora_cca_classifier: "resources/models/cca_classifier.pt" | ||
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# additional options for particular commands | ||
opts: | ||
# additional options for dorado basecalling e.g | ||
dorado: " --emit-moves " | ||
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# additional options for bwa alignment | ||
# based on Novoa lab optimising bwa for tRNA alignment | ||
# the -h 20 option is used to increase the number of secondary alignments reported in the XA tag | ||
bwa: " -W 13 -k 6 -T 20 -x ont2d" | ||
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# requires positive strand alignment | ||
# requires at least 1 5' adapter base | ||
# requires 1 3' adapter base in the discriminating adapter region between charged and uncharged (v2 adapters). | ||
bam_filter: "-5 24 -3 23 -s" | ||
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#requires positive strand alignment and excludes non-primary alignments | ||
coverage: "--filterRNAstrand 'reverse' --samFlagExclude 256" | ||
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# pass additional options to get_signal_metrics.py script which uses Remora to calculate metrics | ||
remora: "" |