<p>Primer design constitutes a critical step in the Polymerase Chain Reaction (PCR), directly influencing the efficiency, specificity, and reliability of amplification. This review evaluates widely used open-access primer design tools — including Primer3Plus, Primer-BLAST, QuantPrime, OligoArchitect™, GenScript, Eurofins PCR Primer Design Tool, BiSearch, STITCHER 2.0, and PrimerQuest™ — with an emphasis on design parameters, usability, and limitations. The use of these platforms enables integration with databases of pathogen genes, biomarkers, and other targets, thereby expanding the applicability of analyses in complex molecular studies. Despite these advances, many tools still lack integrated specificity validation, necessitating experimental confirmation to ensure accurate results. To guide researchers in selecting the most appropriate platform, this review presents a comparative table highlighting the main strengths and limitations of each software. By providing an overview of the capabilities and constraints of these tools, the study supports informed decision-making and the optimized development of PCR assays across diverse research contexts. The analysis emphasizes the balance between automation and empirical validation, underscoring that tool selection is pivotal for obtaining reliable and efficient molecular data.</p>

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Steps for primer development using open-access platforms

  • Brenda Picoli Gheno,
  • Hans Fröder˒,
  • Tamiris Silva Lopes,
  • Vitor Braga Rissi,
  • Scheila de Avila e Silva

摘要

Primer design constitutes a critical step in the Polymerase Chain Reaction (PCR), directly influencing the efficiency, specificity, and reliability of amplification. This review evaluates widely used open-access primer design tools — including Primer3Plus, Primer-BLAST, QuantPrime, OligoArchitect™, GenScript, Eurofins PCR Primer Design Tool, BiSearch, STITCHER 2.0, and PrimerQuest™ — with an emphasis on design parameters, usability, and limitations. The use of these platforms enables integration with databases of pathogen genes, biomarkers, and other targets, thereby expanding the applicability of analyses in complex molecular studies. Despite these advances, many tools still lack integrated specificity validation, necessitating experimental confirmation to ensure accurate results. To guide researchers in selecting the most appropriate platform, this review presents a comparative table highlighting the main strengths and limitations of each software. By providing an overview of the capabilities and constraints of these tools, the study supports informed decision-making and the optimized development of PCR assays across diverse research contexts. The analysis emphasizes the balance between automation and empirical validation, underscoring that tool selection is pivotal for obtaining reliable and efficient molecular data.