Designing highly multiplex PCR primer sets with Simulated Annealing Design using Dimer Likelihood Estimation (SADDLE)

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...
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Autor*in:	Nina G. Xie [verfasserIn] Michael X. Wang [verfasserIn] Ping Song [verfasserIn] Shiqi Mao [verfasserIn] Yifan Wang [verfasserIn] Yuxia Yang [verfasserIn] Junfeng Luo [verfasserIn] Shengxiang Ren [verfasserIn] David Yu Zhang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Übergeordnetes Werk:	In: Nature Communications - Nature Portfolio, 2016, 13(2022), 1, Seite 10
Übergeordnetes Werk:	volume:13 ; year:2022 ; number:1 ; pages:10

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1038/s41467-022-29500-4

Katalog-ID:	DOAJ044995288

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author	Nina G. Xie
spellingShingle	Nina G. Xie misc Science misc Q Designing highly multiplex PCR primer sets with Simulated Annealing Design using Dimer Likelihood Estimation (SADDLE)
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topic_title	Designing highly multiplex PCR primer sets with Simulated Annealing Design using Dimer Likelihood Estimation (SADDLE)
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title	Designing highly multiplex PCR primer sets with Simulated Annealing Design using Dimer Likelihood Estimation (SADDLE)
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author_browse	Nina G. Xie Michael X. Wang Ping Song Shiqi Mao Yifan Wang Yuxia Yang Junfeng Luo Shengxiang Ren David Yu Zhang
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title_sort	designing highly multiplex pcr primer sets with simulated annealing design using dimer likelihood estimation (saddle)
title_auth	Designing highly multiplex PCR primer sets with Simulated Annealing Design using Dimer Likelihood Estimation (SADDLE)
abstract	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.
abstractGer	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.
abstract_unstemmed	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.
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title_short	Designing highly multiplex PCR primer sets with Simulated Annealing Design using Dimer Likelihood Estimation (SADDLE)
url	https://doi.org/10.1038/s41467-022-29500-4 https://doaj.org/article/1916b170bab24fd2aaa4b697ee9a21da https://doaj.org/toc/2041-1723
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Designing highly multiplex PCR primer sets with Simulated Annealing Design using Dimer Likelihood Estimation (SADDLE)

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