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Designing highly multiplex PCR primer sets with Simulated Annealing Design using Dimer Likelihood Estimation (SADDLE)
by
Wang, Michael X.
, Luo, Junfeng
, Song, Ping
, Mao, Shiqi
, Ren, Shengxiang
, Wang, Yifan
, Yang, Yuxia
, Zhang, David Yu
, Xie, Nina G.
in
631/114/794
/ 631/61/514/2254
/ Algorithms
/ Design
/ Dimers
/ DNA Primers - genetics
/ Gene sequencing
/ Humanities and Social Sciences
/ Likelihood Functions
/ Lung cancer
/ multidisciplinary
/ Multiplex Polymerase Chain Reaction - methods
/ Multiplexing
/ Mutation
/ Nucleotide sequence
/ Polymerase chain reaction
/ Primers
/ Real-Time Polymerase Chain Reaction - methods
/ Science
/ Science (multidisciplinary)
/ Simulated annealing
/ Simulation
2022
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Designing highly multiplex PCR primer sets with Simulated Annealing Design using Dimer Likelihood Estimation (SADDLE)
by
Wang, Michael X.
, Luo, Junfeng
, Song, Ping
, Mao, Shiqi
, Ren, Shengxiang
, Wang, Yifan
, Yang, Yuxia
, Zhang, David Yu
, Xie, Nina G.
in
631/114/794
/ 631/61/514/2254
/ Algorithms
/ Design
/ Dimers
/ DNA Primers - genetics
/ Gene sequencing
/ Humanities and Social Sciences
/ Likelihood Functions
/ Lung cancer
/ multidisciplinary
/ Multiplex Polymerase Chain Reaction - methods
/ Multiplexing
/ Mutation
/ Nucleotide sequence
/ Polymerase chain reaction
/ Primers
/ Real-Time Polymerase Chain Reaction - methods
/ Science
/ Science (multidisciplinary)
/ Simulated annealing
/ Simulation
2022
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Designing highly multiplex PCR primer sets with Simulated Annealing Design using Dimer Likelihood Estimation (SADDLE)
by
Wang, Michael X.
, Luo, Junfeng
, Song, Ping
, Mao, Shiqi
, Ren, Shengxiang
, Wang, Yifan
, Yang, Yuxia
, Zhang, David Yu
, Xie, Nina G.
in
631/114/794
/ 631/61/514/2254
/ Algorithms
/ Design
/ Dimers
/ DNA Primers - genetics
/ Gene sequencing
/ Humanities and Social Sciences
/ Likelihood Functions
/ Lung cancer
/ multidisciplinary
/ Multiplex Polymerase Chain Reaction - methods
/ Multiplexing
/ Mutation
/ Nucleotide sequence
/ Polymerase chain reaction
/ Primers
/ Real-Time Polymerase Chain Reaction - methods
/ Science
/ Science (multidisciplinary)
/ Simulated annealing
/ Simulation
2022
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Designing highly multiplex PCR primer sets with Simulated Annealing Design using Dimer Likelihood Estimation (SADDLE)
Journal Article
Designing highly multiplex PCR primer sets with Simulated Annealing Design using Dimer Likelihood Estimation (SADDLE)
2022
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Overview
One major challenge in the design of highly multiplexed PCR primer sets is the large number of potential primer dimer species that grows quadratically with the number of primers to be designed. Simultaneously, there are exponentially many choices for multiplex primer sequence selection, resulting in systematic evaluation approaches being computationally intractable. Here, we present and experimentally validate Simulated Annealing Design using Dimer Likelihood Estimation (SADDLE), a stochastic algorithm for design of multiplex PCR primer sets that minimize primer dimer formation. In a 96-plex PCR primer set (192 primers), the fraction of primer dimers decreases from 90.7% in a naively designed primer set to 4.9% in our optimized primer set. Even when scaling to 384-plex (768 primers), the optimized primer set maintains low dimer fraction. In addition to NGS, SADDLE-designed primer sets can also be used in qPCR settings to allow highly multiplexed detection of gene fusions in cDNA, with a single-tube assay comprising 60 primers detecting 56 distinct gene fusions recurrently observed in lung cancer.
The design of highly multiplex PCR primers to amplify and enrich many different DNA sequences is increasing in biomedical importance as new mutations and pathogens are identified. The authors present and experimentally validate Simulated Annealing Design using Dimer Likelihood Estimation (SADDLE), a stochastic algorithm for design of highly multiplex PCR primer sets that minimize primer dimer formation.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
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