Primerdiffer: a python command-line module for large-scale primer design in haplotype genotyping

Xiaoliang Ren, Yanwen Shao, Yiwen Zhang, Ying Ni, Yu Bi, Runsheng Li*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

1 Citation (Scopus)
55 Downloads (CityUHK Scholars)

Abstract

Motivation: Primer design is a routine practice for modern molecular biology labs. Bioinformatics tools like primer3 and primer-blast have standardized the primer design for a specific region. However, large-scale primer design, especially for genome-wide screening, is still a labor-intensive job for most wet-lab researchers using these pipelines.
Results: Here, we present the primerdiffer pipeline, which can be used to batch design primers that differentiate haplotypes on a large scale with precise false priming checking. This command-line interface (CLI) pipeline includes greedy primer search, local and global in silico PCR-based false priming checking, and automated best primer selection. The local CLI application provides flexibility to design primers with the user’s own genome sequences and specific parameters. Some species-specific primers designed to genotype the hybrid introgression strains from Caenorhabditis briggsae and Caenorhabditis nigoni have been validated using single-worm PCR. This pipeline provides the first CLI-based large-scale primer design tool to differentiate haplotypes in any targeted region.
Availability and implementation: The open-source python modules are available at github (https://github.com/runsheng/primerdiffer, https://github.com/runsheng/primervcf) and Python package index (https://pypi.org/project/primerdiffer/, https://pypi.org/project/primervcf/).

© The Author(s) 2023. Published by Oxford University Press.
Original languageEnglish
Article numberbtad188
Number of pages2
JournalBioinformatics
Volume39
Issue number4
Online published17 Apr 2023
DOIs
Publication statusPublished - Apr 2023

Funding

This work was supported by the Hong Kong Branch of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (SMSEGL20SC02), Early career scheme (project number 9048204) from the Hong Kong Research Grant Council, Hong Kong Health and Medical Research Fund (project number 9211280), and new Research Initiatives support from City University of Hong Kong (project number 9610497) to R.L.

Research Keywords

  • Haplotypes
  • Software
  • Genotype
  • Polymerase Chain Reaction
  • Computational Biology

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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