MethPrimer: designing primers for methylation PCRs

Clicks: 1
ID: 290354
2002
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #545 of 825 articles by views in BMC Bioinformatics

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 825 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Motivation: DNA methylation is an epigenetic mechanism of gene regulation. Bisulfite- conversion-based PCR methods, such as bisulfite sequencing PCR (BSP) and methylation specific PCR (MSP), remain the most commonly used techniques for methylation mapping. Existing primer design programs developed for standard PCR cannot handle primer design for bisulfite-conversion-based PCRs due to changes in DNA sequence context caused by bisulfite treatment and many special constraints both on the primers and the region to be amplified for such experiments. Therefore, the present study was designed to develop a program for such applications. Results: MethPrimer, based on Primer3, is a program for designing PCR primers for methylation mapping. It first takes a DNA sequence as its input and searches the sequence for potential CpG islands. Primers are then picked around the predicted CpG islands or around regions specified by users. MethPrimer can design primers for BSP and MSP. Results of primer selection are delivered through a web browser in text and in graphic view. Availability: MethPrimer is freely accessible at the following Web address http://itsa.ucsf.edu/~urolab/methprimer Contact: longli@itsa.ucsf.eduurologylab@aol.com To whom correspondence should be addressed.
Reference Key
openalex_W2139122477 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Long-Cheng Li, Rajvir Dahiya
Journal BMC Bioinformatics
Year 2002
DOI
10.1093/bioinformatics/18.11.1427
URL
https://academic.oup.com/bioinformatics/article-pdf/18/11/1427/426887/181427.pdf
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.