2016
DOI: 10.1093/nar/gkw380
|View full text |Cite
|
Sign up to set email alerts
|

MRPrimerW: a tool for rapid design of valid high-quality primers for multiple target qPCR experiments

Abstract: Design of high-quality primers for multiple target sequences is essential for qPCR experiments, but is challenging due to the need to consider both homology tests on off-target sequences and the same stringent filtering constraints on the primers. Existing web servers for primer design have major drawbacks, including requiring the use of BLAST-like tools for homology tests, lack of support for ranking of primers, TaqMan probes and simultaneous design of primers against multiple targets. Due to the large-scale … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
12
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
6
2

Relationship

1
7

Authors

Journals

citations
Cited by 15 publications
(13 citation statements)
references
References 22 publications
1
12
0
Order By: Relevance
“…After computation, the workflow generated a total of 51 091 785 gene-specific qPCR primer pairs, corresponding to 93.4% of the average coverage ratios, per organism, and an average of 15.3 primer pairs per gene (Table 1 and Supplementary Table S1 ). In human and mouse, more than 19 and 22 primer pairs, per gene, were obtained, with a coverage ratio of 78.8 and 90.3%, respectively ( Supplementary Table S1 ), indicating that the results of our workflow are in accordance with those in MRPrimerW ( 15 ) and PrimerBank ( 16 ). Moreover, it is more difficult to design qPCR primers for plants than for animals.…”
Section: Methodssupporting
confidence: 54%
See 1 more Smart Citation
“…After computation, the workflow generated a total of 51 091 785 gene-specific qPCR primer pairs, corresponding to 93.4% of the average coverage ratios, per organism, and an average of 15.3 primer pairs per gene (Table 1 and Supplementary Table S1 ). In human and mouse, more than 19 and 22 primer pairs, per gene, were obtained, with a coverage ratio of 78.8 and 90.3%, respectively ( Supplementary Table S1 ), indicating that the results of our workflow are in accordance with those in MRPrimerW ( 15 ) and PrimerBank ( 16 ). Moreover, it is more difficult to design qPCR primers for plants than for animals.…”
Section: Methodssupporting
confidence: 54%
“…Although these programs have been optimized, it is still difficult for most researchers to design many qPCR primers that simultaneously satisfy the requirements for stringent, uniform amplification conditions. Therefore, various qPCR primer databases have been developed to provide pre-designed, specific qPCR primers, such as AtRTPrimer ( 13 ), GETPrime 2.0 ( 14 ), MRPrimerW ( 15 ), PrimerBank ( 16 ), qPrimerDepot ( 17 ) and RTPrimerDB ( 18 ). Unfortunately, these databases were designed based on only a few important organisms.…”
Section: Introductionmentioning
confidence: 99%
“…The comparison to the most renowned databases, RTPrimerDB [ 15 ], GETPrime 2.0 [ 8 ], qPrimerDB [ 9 ], PrimerBank [ 5 ] and MrPrimerW [ 16 ] is summarised in Table 3 .…”
Section: Resultsmentioning
confidence: 99%
“…Many websites have been developed to aid in designing primers for qPCR, including Primer3Plus (6,7), BatchPrimer3 (8), Primique (9), QuantPrime (10), Primer-BLAST (11), Oli2go (12) and MRPrimerW (13). There are also many databases containing pre-computed primers, including PrimerBank (14,15) and qPrimerDB (16).…”
Section: Introductionmentioning
confidence: 99%
“…MRPrimerW (13) is our previously proposed website which allows users to quickly search for the best valid primer pairs satisfying the same constraints for many target sequences. It extracted a complete set of 341 963 135 valid primers which can amplify only a specific sequence from the human and mouse CCDS databases (https://www.ncbi.nlm.nih.gov/CCDS/) in an exhaustive manner using the large-scale MapReduce program called MRPrimer (18), converted them to a set of indices with annotations, and loaded into the main memory of the website.…”
Section: Introductionmentioning
confidence: 99%