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Kcov

Annotation:

Step	Annotation
Step 1: Input dataset collection input select at runtime
Step 2: Collapse Collection Collection of files to collapse into single dataset Output dataset 'output' from step 1 Keep one header line False Prepend File name False
Step 3: Meryl Operation type selector Count operations Count operations Count: count the occurrences of canonical k-mers Input sequences Output dataset 'output' from step 2 K-mer size selector Estimate the best k-mer size Genome size 1050000000 Tolerable collision rate 0.001
Step 4: Meryl Operation type selector Generate histogram dataset Input meryldb Output dataset 'read_db' from step 3
Step 5: GenomeScope Input histogram file Output dataset 'read_db_hist' from step 4 Add the model parameters to your history False Output a summary of the analysis True Additional information for each optimization round False Ploidy for model to use 2 K-mer length used to calculate k-mer spectra 31 Optional initial kmercov estimate for model to use Not available. Optional maximum k-mer coverage threshold Not available. Turn off yellow unique sequence line in plots False Flag for topology for model to use Not available. Initial value for repetitiveness Not available. Initial values for nucleotide heterozygosity rates Not available. Parameter for the exponent when fitting a transformed (x*transform_expy vs. x) k-mer histogram Not available. Create testing.tsv file with model parameters False Flag to state true simulated parameters for testing mode Not available. Turn on printing of iteration progress of nlsLM function False Number of optimization rounds Not available.

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delphine-l

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