Literature DB >> 17951799

An iterative method for selecting degenerate multiplex PCR primers.

Richard Souvenir1, Jeremy Buhler, Gary Stormo, Weixiong Zhang.   

Abstract

Single-nucleotide polymorphism (SNP) genotyping is an important molecular genetics process, which can produce results that will be useful in the medical field. Because of inherent complexities in DNA manipulation and analysis, many different methods have been proposed for a standard assay. One of the proposed techniques for performing SNP genotyping requires amplifying regions of DNA surrounding a large number of SNP loci. To automate a portion of this particular method, it is necessary to select a set of primers for the experiment. Selecting these primers can be formulated as the Multiple Degenerate Primer Design (MDPD) problem. The Multiple, Iterative Primer Selector (MIPS) is an iterative beam-search algorithm for MDPD. Theoretical and experimental analyses show that this algorithm performs well compared with the limits of degenerate primer design. Furthermore, MIPS outperforms an existing algorithm that was designed for a related degenerate primer selection problem.

Mesh:

Substances:

Year:  2007        PMID: 17951799     DOI: 10.1007/978-1-59745-528-2_12

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

1.  Gemi: PCR primers prediction from multiple alignments.

Authors:  Haitham Sobhy; Philippe Colson
Journal:  Comp Funct Genomics       Date:  2012-12-19

2.  Skip the alignment: degenerate, multiplex primer and probe design using K-mer matching instead of alignments.

Authors:  David A Hysom; Pejman Naraghi-Arani; Maher Elsheikh; A Celena Carrillo; Peter L Williams; Shea N Gardner
Journal:  PLoS One       Date:  2012-04-02       Impact factor: 3.240

3.  MCMC-ODPR: primer design optimization using Markov Chain Monte Carlo sampling.

Authors:  James L Kitchen; Jonathan D Moore; Sarah A Palmer; Robin G Allaby
Journal:  BMC Bioinformatics       Date:  2012-11-05       Impact factor: 3.169

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.