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Merly Escalona edited this page Oct 2, 2017
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NGSphy is a Python open-source tool for the genome-wide simulation of NGS data (read counts or Illumina reads) obtained from thousands of gene families evolving under a common species tree, with multiple haploid and/or diploid individuals per species, where sequencing coverage (depth) heterogeneity can vary among species, individuals and loci, including off-target and untargeted loci.
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Manual
- Wiki
- PDF (Up-to-date)
- Older versions of the manual
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Tutorials (Settings examples)
- About NGSphy
- Citation
- Input/output files
- NGS overage heterogeneity
- Installation
- Usage
- The settings file
- Output
- Additional information
- Getting help
- References
- Generating read counts from a single gene tree (inputmode=1)
- Generating Illumina reads from a single gene tree, using an ancestral sequence (inputmode=2)
- Generating read counts from a single gene tree, using an anchor sequence (inputmode=3)
- Generating Illumina reads from gene tree distribution (inputmode=4)