Comments (1)
It would be best to direct questions regarding the Cowell paper to the corresponding author or first author of that paper. GC content across the genome would be best calculated using a sliding scale that looks at GC content over thousands of basepairs. At least initially you may also want to design primers that amplify the entire genome and then look for gaps in coverage and redesign primers to target those regions.
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Related Issues (20)
- Identifying gaps
- Problem with swga filter HOT 7
- Unknown error swga HOT 10
- Sets with overlapping primers HOT 3
- Parameters for similar genomes HOT 3
- SWGA error related to dependencies HOT 2
- Dimer issue and melt temp query HOT 3
- Finding Custom List of Primers Not Working
- Primers without gini and temp
- swga version for python 3? HOT 1
- Problem with swga count HOT 4
- Problem with swga count HOT 2
- SWGA init error from peewee
- Support for Python 3
- Could not reproduce example HOT 3
- Using a custom list of primers for finding or scoring specific sets
- TypeError: filename expected str, os.PathLike or fsspec.OpenFile, got: u'/data/cm/soapswga/gemomes/cpar_genome.fasta' HOT 9
- Error: Path '.fasta' does not exist
- setuptools pip failed with error code 1
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