Description:
Assign rice varieties to five groups based on 38 barcodeSNPs using machine learning models for a provided hapmap file.
Usage:
perl hapmap2MLinput.pl test31.hapmap 0 0 >test31.input
python RiceClassifier.py --input test31.input –output test31.output
Input file:
test31.hapmap
Output files:
test31.output
Required Files:
log_m.pkl, snpinfo.csv
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Description:
To match and identify rice varieties based on 38 barcodeSNPs for a provided hapmap file.
Usage:
perl hapmap2MLinput.pl test32.hapmap 0 0 >test32.input
perl RiceMatch.pl db.csv test32.input >test32.outp
Input file:
test32.hapmap
Output files:
test32.output
Required Files:
db.csv
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