MultiPLX

MultiPLX automates grouping of PCR primer pairs to evaluate and optimize primer compatibility for multiplex PCR experiments.


Key Features:

  • Comprehensive compatibility assessment: Evaluates primer-primer interactions, primer-product interactions, differences in melting temperatures, variations in product length, and the potential for generating alternative products from the template.
  • Automatic grouping capability: Automatically groups large numbers of primer pairs based on predicted compatibility for multiplexing.
  • High-throughput processing: Processes thousands of primer pairs simultaneously.
  • Algorithmic optimization: Leverages advanced algorithms to evaluate and optimize primer compatibility.
  • Multiplex PCR analysis: Addresses complexities associated with designing and validating multiplex PCR assays.

Scientific Applications:

  • High-throughput multiplex PCR design: Optimizes primer groupings to reduce non-specific amplification and unintended interactions in multiplex assays.
  • Genomics and molecular biology workflows: Supports applications requiring precise multiplex PCR setups in genomics and molecular biology.
  • Primer validation and prediction: Predicts potential alternative products and interaction risks to improve experimental accuracy.

Methodology:

Performs systematic evaluation of primer pairs against defined parameters (primer-primer interactions, primer-product interactions, melting temperature differences, product length variations, and potential for alternative products) and applies advanced algorithms to optimize compatibility and automatically group primer pairs.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
1/22/2015
Last Updated:
11/25/2024

Operations

Data Inputs & Outputs

Sequence comparison

Publications

Kaplinski L, Andreson R, Puurand T, Remm M. MultiPLX: automatic grouping and evaluation of PCR primers. Bioinformatics. 2004;21(8):1701-1702. doi:10.1093/bioinformatics/bti219. PMID:15598831.

Documentation