genomic sequence element (kmer) enrichment analysis
DescriptionBacterial genomes vary extensively in terms of both gene content and gene sequence - this plasticity hampers the use of traditional SNP-based methods for identifying all genetic associations with phenotypic variation. SEER provides a computationally scalable and widely applicable statistical method for the identification of sequence elements that are significantly enriched in a phenotype of interest. SEER is applicable to even tens of thousands of genomes by counting variable- length k-mers using a distributed string-mining algorithm. Robust options are provided for association analysis that also correct for the clonal population structure of bacteria. Using large collections of genomes of the major human pathogen Streptococcus pneumoniae, SEER identifies relevant previously characterised resistance determinants for several antibiotics.
Upload more screenshots
Please help extend the collection of screenshots. Just make a screenshot and upload it here. You don't need to register or anything.Upload a screenshot
Hint: upload an image here from your clipboard with Ctrl-V
Install this software package
If the package is available for the distribution you are currently using on your computer then install the software by clicking on…Install seer