MRPrimerW2: an enhanced tool for rapid design of valid high-quality primers with multiple search modes for qPCR experiments

Author:

Jeon Hajin1ORCID,Bae Jeongmin1,Hwang Sang-Hyun1,Whang Kyu-Young1,Lee Hyun-Seob2,Kim Hyerin3ORCID,Kim Min-Soo1

Affiliation:

1. Department of Information and Communication Engineering, DGIST, Daegu, South Korea

2. Genomics Core Facility, Department of Transdisciplinary Research and Collaboration, Biomedical Research Institute, Seoul National University Hospital, Seoul, South Korea

3. Department of Neural Development and Disease, Korea Brain Research Institute, Daegu, South Korea

Abstract

Abstract For the best results in quantitative polymerase chain reaction (qPCR) experiments, it is essential to design high-quality primers considering a multitude of constraints and the purpose of experiments. The constraints include many filtering constraints, homology test on a huge number of off-target sequences, the same constraints for batch design of primers, exon spanning, and avoiding single nucleotide polymorphism (SNP) sites. The target sequences are either in database or given as FASTA sequences, and the experiment is for amplifying either each target sequence with each corresponding primer pairs designed under the same constraints or all target sequences with a single pair of primers. Many websites have been proposed, but none of them including our previous MRPrimerW fulfilled all the above features. Here, we describe the MRPrimerW2, the update version of MRPrimerW, which fulfils all the features by maintaining the advantages of MRPrimerW in terms of the kinds and sizes of databases for valid primers and the number of search modes. To achieve it, we exploited GPU computation and a disk-based key-value store using PCIe SSD. The complete set of 3 509 244 680 valid primers of MRPrimerW2 covers 99% of nine important organisms in an exhaustive manner. Free access: http://MRPrimerW2.com

Funder

National Research Foundation of Korea

Ministry of Science, ICT and Future Planning

Ministry of Science and ICT

Publisher

Oxford University Press (OUP)

Subject

Genetics

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