Literature DB >> 15598831

MultiPLX: automatic grouping and evaluation of PCR primers.

Lauris Kaplinski1, Reidar Andreson, Tarmo Puurand, Maido Remm.   

Abstract

UNLABELLED: MultiPLX is a new program for automatic grouping of PCR primers. It can use many different parameters to estimate the compatibility of primers, such as primer-primer interactions, primer-product interactions, difference in melting temperatures, difference in product length and the risk of generating alternative products from the template. A unique feature of the MultiPLX is the ability to perform automatic grouping of large number (thousands) of primer pairs. AVAILABILITY: Binaries for Windows, Linux and Solaris are available from http://bioinfo.ebc.ee/download/. A graphical version with limited capabilities can be used through a web interface at http://bioinfo.ebc.ee/multiplx/. The source code of the program is available on request for academic users. CONTACT: maido.remm@ut.ee.

Mesh:

Substances:

Year:  2004        PMID: 15598831     DOI: 10.1093/bioinformatics/bti219

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  20 in total

1.  MPprimer: a program for reliable multiplex PCR primer design.

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Journal:  BMC Bioinformatics       Date:  2010-03-18       Impact factor: 3.169

2.  Genetic structure in the Amazonian catfish Brachyplatystoma rousseauxii: influence of life history strategies.

Authors:  F M Carvajal-Vallejos; F Duponchelle; E Desmarais; F Cerqueira; S Querouil; J Nuñez; C García; J-F Renno
Journal:  Genetica       Date:  2014-07-20       Impact factor: 1.082

3.  Population structure of two rabies hosts relative to the known distribution of rabies virus variants in Alaska.

Authors:  Elizabeth W Goldsmith; Benjamin Renshaw; Christopher J Clement; Elizabeth A Himschoot; Kris J Hundertmark; Karsten Hueffer
Journal:  Mol Ecol       Date:  2016-01-19       Impact factor: 6.185

4.  Multiplex PCR using YeaD and 16S rRNA gene to identify major pathogens in vibriosis of Litopenaeus vannamei.

Authors:  Yeong-Jong Han; Ara Jo; So-Won Kim; Hee-Eun Lee; Young Chul Kim; Hyun Do Jeong; Yung Hyun Choi; Suhkmann Kim; Hee-Jae Cha; Heui-Soo Kim
Journal:  Genes Genomics       Date:  2018-09-04       Impact factor: 1.839

5.  Multiple-locus variable-number tandem repeat analysis for strain discrimination of non-O157 Shiga toxin-producing Escherichia coli.

Authors:  Chris Timmons; Eija Trees; Efrain M Ribot; Peter Gerner-Smidt; Patti LaFon; Sung Im; Li Maria Ma
Journal:  J Microbiol Methods       Date:  2016-04-09       Impact factor: 2.363

6.  Extensive chromosome homoeology among Brassiceae species were revealed by comparative genetic mapping with high-density EST-based SNP markers in radish (Raphanus sativus L.).

Authors:  Feng Li; Yoichi Hasegawa; Masako Saito; Sachiko Shirasawa; Aki Fukushima; Toyoaki Ito; Hiroshi Fujii; Sachie Kishitani; Hiroyasu Kitashiba; Takeshi Nishio
Journal:  DNA Res       Date:  2011-08-04       Impact factor: 4.458

7.  GENOMEMASKER package for designing unique genomic PCR primers.

Authors:  Reidar Andreson; Eric Reppo; Lauris Kaplinski; Maido Remm
Journal:  BMC Bioinformatics       Date:  2006-03-27       Impact factor: 3.169

8.  Development of a comparative genomic fingerprinting assay for rapid and high resolution genotyping of Arcobacter butzleri.

Authors:  Andrew L Webb; Peter Kruczkiewicz; L Brent Selinger; G Douglas Inglis; Eduardo N Taboada
Journal:  BMC Microbiol       Date:  2015-05-07       Impact factor: 3.605

9.  QTL analysis using SNP markers developed by next-generation sequencing for identification of candidate genes controlling 4-methylthio-3-butenyl glucosinolate contents in roots of radish, Raphanus sativus L.

Authors:  Zhongwei Zou; Masahiko Ishida; Feng Li; Tomohiro Kakizaki; Sho Suzuki; Hiroyasu Kitashiba; Takeshi Nishio
Journal:  PLoS One       Date:  2013-01-07       Impact factor: 3.240

10.  Predicting failure rate of PCR in large genomes.

Authors:  Reidar Andreson; Tõnu Möls; Maido Remm
Journal:  Nucleic Acids Res       Date:  2008-05-20       Impact factor: 16.971

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