Difference between revisions of "OASIS"
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|Name=OASIS | |Name=OASIS | ||
|Short description=A Novel GWAS Analysis Method | |Short description=A Novel GWAS Analysis Method | ||
| − | |Full description=OASIS is a novel linkage disequilibrium clustering algorithm that can potentially address false positives and negatives in genome-wide association studies (GWAS) in complex disorders. OASIS is a unique method that can be widely applied for mining existing GWAS datasets to identify new genes and loci in an efficient, low cost way. | + | |Full description=OASIS is a novel linkage disequilibrium clustering algorithm that can potentially address false positives and negatives in genome-wide association studies (GWAS) in complex disorders. OASIS is a unique method that can be widely applied for mining existing GWAS datasets to identify new genes and loci in an efficient, low cost way. |
| − | |Homepage URL= | + | |Homepage URL=https://github.com/dr-saeed/OASIS |
| + | |Is High Priority Project=No | ||
|Computer languages=Python 2.7.9 | |Computer languages=Python 2.7.9 | ||
| − | | | + | |Decommissioned or Obsolete=No |
|Keywords=linkage disequilibrium; genome-wide association study (GWAS) | |Keywords=linkage disequilibrium; genome-wide association study (GWAS) | ||
|Version date=2016/11/06 | |Version date=2016/11/06 | ||
|Version status=stable | |Version status=stable | ||
| − | | | + | |Version download=https://raw.githubusercontent.com/dr-saeed/OASIS/master/OASIS.py |
|Submitted date=2016/11/06 | |Submitted date=2016/11/06 | ||
| − | | | + | |Paid support=None |
| − | |Is GNU= | + | |Accepts cryptocurrency donations=No |
| − | | | + | |Test entry=No |
| + | |Is GNU=No | ||
| + | }} | ||
| + | {{Project license | ||
| + | |License=GPLv3orlater | ||
| + | |License verified by=tedt | ||
| + | |License verified date=2017/06/02 | ||
}} | }} | ||
{{Software category | {{Software category | ||
Latest revision as of 06:23, 3 December 2018
OASIS
https://github.com/dr-saeed/OASIS
A Novel GWAS Analysis Method
OASIS is a novel linkage disequilibrium clustering algorithm that can potentially address false positives and negatives in genome-wide association studies (GWAS) in complex disorders. OASIS is a unique method that can be widely applied for mining existing GWAS datasets to identify new genes and loci in an efficient, low cost way.
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