Jump to navigation Jump to search


giraf website  

GiRaF is a computational tool for identification of reassortments in influenza viruses from sequence databases of isolates. Reassortments in influenza - a process where strains exchange genetic segments - have been implicated in 2 out of 3 pandemics of the 20th century as well as the 2009 H1N1 outbreak. GiRaF robustly identifies reassortments in a fully automated fashion while accounting for uncertainties in the inferred phylogenies. GiRaF relies on a fast consensus-search algorithm to confidently identify incompatible gene segment phylogenies that serve as signatures for reassortments. In experiments with synthetic datasets, GiRaF demonstrates high precision and sensitivity as well as robustness to complex reassortment histories. On human, avian and swine influenza datasets, GiRaF correctly identifies known reassortments as well novel events and can automatically catalog reassortment architectures based on all pairwise comparisons between gene segments.

Environment Modules

Run module spider giraf to find out what environment modules are available for this application.

System Variables

  • HPC_GIRAF_DIR - installation directory


If you publish research that uses giraf you have to cite it as follows:

Niranjan Nagarajan and Carl Kingsford. GiRaF: robust, computational identification of influenza reassortments via graph mining, Nuc. Acids Res. 39(6):e34 (2011).