"Farrel Buchinsky" <[EMAIL PROTECTED]> wrote:
> I tried biomaRt
>
> library(biomaRt)
> ensnp = useMart("snp", dataset = "hsapiens_snp")
> snp = getSNP(chromosome = 17, start = 73649033, end = 73679033, mart =
> ensnp)
> show(snp)
>
> Gave me a nice table but it did not seem to permit starting f
I tried biomaRt
library(biomaRt)
ensnp = useMart("snp", dataset = "hsapiens_snp")
snp = getSNP(chromosome = 17, start = 73649033, end = 73679033, mart =
ensnp)
show(snp)
Gave me a nice table but it did not seem to permit starting from the point
of knowing the SNP and entering a list of rs##
Farrel Buchinsky <[EMAIL PROTECTED]> wrote:
> If I run an analysis which generates statistical tests on many SNPs I would
> naturally want to get more details on the most significant SNPs. Directly
> from within R one can get the information by loading RSNPer (from
> Bioconductor) and simply issu
Doesn't this provide a programmer with the information that he would need.
http://www.ncbi.nlm.nih.gov/projects/SNP/SNPeutils.htm
"Vincent Carey 525-2265" <[EMAIL PROTECTED]> wrote in message
news:[EMAIL PROTECTED]
> another good question. dbSNP did not, at the time RSNPper was created,
> provid
> I am not a card-carrying Bioinformatician or Biostatistician. At the risk of
> demonstrating naivete let me ask "if you have reservations about snpper and
> its durability why not query dbSNP?" :
> http://www.ncbi.nlm.nih.gov/projects/SNP/
>
>
> That may be easy for me to "say" since I don't hav
I am not a card-carrying Bioinformatician or Biostatistician. At the risk of
demonstrating naivete let me ask "if you have reservations about snpper and
its durability why not query dbSNP?" :
http://www.ncbi.nlm.nih.gov/projects/SNP/
That may be easy for me to "say" since I don't have the skills
> If I run an analysis which generates statistical tests on many SNPs I would
> naturally want to get more details on the most significant SNPs. Directly
> from within R one can get the information by loading RSNPer (from
> Bioconductor) and simply issuing a command SNPinfo(2073285). Unfortunately
If I run an analysis which generates statistical tests on many SNPs I would
naturally want to get more details on the most significant SNPs. Directly
from within R one can get the information by loading RSNPer (from
Bioconductor) and simply issuing a command SNPinfo(2073285). Unfortunately,
the com
