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PCR

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RACE - Rapid Amplification of cDNA Ends

RACE - Rapid Amplification of cDNA Ends

Rapid Amplification of cDNA Ends, or RACE, is one of the most effective methods to obtain a full-length cDNA from an mRNA sequence between a known internal region to the unknown sequence at the 5’ or 3’ end. The unknown region is cloned in the cDNA by a gene-specific primer that binds the known end, and a hybrid primer that attaches a predefined anchor sequence to the unknown end of the cDNA. The sequence in between is amplified by PCR with an anchor primer and a gene-specific primer.
Since the...

PCR - Polymerase Chain Reaction

PCR - Polymerase Chain Reaction

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Updated: May 15, 2026

Novel Sequence Discovery by Subtractive Genomics

Novel Sequence Discovery by Subtractive Genomics

Published on: January 25, 2019

Gemi: PCR primers prediction from multiple alignments.

Haitham Sobhy¹, Philippe Colson

¹Facultés de Médecine et de Pharmacie, Aix Marseille Université, URMITE, UM 63, CNRS 7278, INSERM, U1095, 13385 Marseille Cedex 05, France.

Comparative and Functional Genomics

|January 15, 2013

Summary

This summary is machine-generated.

Designing primers and probes for polymerase chain reaction (PCR) is crucial for molecular biology. A new bioinformatics tool, Gemi, simplifies this process by identifying conserved regions in diverse microbial sequences for efficient primer and probe design.

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Area of Science:

Bioinformatics
Molecular Biology
Genomics

Background:

Primer and probe design for Polymerase Chain Reaction (PCR) requires identifying conserved regions within DNA sequences.
High sequence diversity, common in microbiology, complicates traditional primer design methods.

Purpose of the Study:

To develop an automated, user-friendly bioinformatics tool for designing PCR primers and probes.
To address the challenges of primer design in highly diverse sequence sets.

Main Methods:

Development of Gemi, an automated bioinformatics tool with a graphical user interface.
Utilizes multiple sequence alignments to identify conserved regions for primer and probe design.
Designed for both real-time and conventional PCR applications.

Main Results:

Gemi provides an automated, fast, and easy-to-use solution for primer and probe design.
The tool efficiently handles large datasets and diverse sequences.
Facilitates the design of primers and probes for various PCR applications.

Conclusions:

Gemi simplifies a critical step in molecular biology research, particularly for microbial studies.
The tool enhances the efficiency and accuracy of primer and probe design.
Offers a valuable resource for researchers working with diverse genetic sequences.