Multiplex primer prediction software for divergent targets.

ABSTRACT: We describe a Multiplex Primer Prediction (MPP) algorithm to build multiplex compatible primer sets to amplify all members of large, diverse and unalignable sets of target sequences. The MPP algorithm is scalable to larger target sets than other available software, and it does not require a multiple sequence alignment. We applied it to questions in viral detection, and demonstrated that there are no universally conserved priming sequences among viruses and that it could require an unfeasibly large number of primers ( approximately 3700 18-mers or approximately 2000 10-mers) to generate amplicons from all sequenced viruses. We then designed primer sets separately for each viral family, and for several diverse species such as foot-and-mouth disease virus (FMDV), hemagglutinin (HA) and neuram

SUBMITTER: Gardner SN 

PROVIDER: S-EPMC2770652 | biostudies-literature | 2009 Oct

REPOSITORIES: biostudies-literature