Algorithm method 'reliably performs' quantitative analysis of electrophoresis results

A computational algorithm devised by a team in Taiwan is able to simplify the quantitative analysis of results obtained by electrophoresis, they claim.

Published in BMC Bioinformatics, their research looks at overcoming the challenging computation of primers for polymerase chain reaction with confronting two-pair primer (PCR-CTTP) experiments.

According to the team, their algorithm is capable of providing CTTP primers that meet most of the imposed constraints in their simulations.

Meanwhile, a further stage in their investigation validated their algorithm for providing reliable sets of primers for single nucleotide polymorphism (SNP) genotyping.

SNP genotyping with electrophoresis is a cost-effective and time-efficient process with simplicity on its side, they say, but computing the primers is not so easy.

With the genetic algorithm-based method in place, all forms of estimation can be provided for common PCR-CTTP primer constraints, helping to simplify the overall quantitative analysis of the experiment.

BMC Bioinformatics focuses on such studies of statistical and computational methods for use in scientific research.