Salavati Lab

 

Institute of Parasitology

 

McGill University

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HyperPolymorphism: hypergeometric-based analysis of polymorphisms in nucleotide sequences

 

 

 

HyperMotif2HyperPolymorphism is a simple tool for comparing sequences obtained from two pooled samples in order to identify single nucleotide polymorphism (SNP) and insertion/deletion (indel) alleles that are differentially represented in each pool. HyperPolymorphism does this by assuming a hypergeometric distribution of alleles between the two samples (similar to Fisher’s exact test). The input of HyperPolymorphism consists of two pileup files generated using SAMtools (http://samtools.sourceforge.net/cns0.shtml), each file representing the compact alignment of sequences obtained from one of the pooled samples. The output of HyperPolymorphism is two tab-delimited files, ranking the SNPs and indels based on differential representation of their alleles in the two samples.

 

HyperPolymorphism is a part of HyperGenometrics which will be released soon. HyperGenometrics will allow analysis of a much wider range of data types, including microarray data and phylogenetic profiles, with the final goal of facilitating functional genomics.

 

HyperPolymorphism Developers:

Hamed Shateri Najafabadi

Reza Salavati


 

 

 

Reza Salavati’s profile at McGill

Last updated on 5/16/2011 9:00:30 PM