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BARCOSEL: a tool for selecting an optimal barcode set for high-throughput sequencing.

Panu Somervuo1,2, Patrik Koskinen3, Peng Mei4

  • 1Mathematical Biology Group, Department of Biosciences, FIN-00014 University of Helsinki, P.O.Box 65, Finland. panu.somervuo@helsinki.fi.

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|July 7, 2018
PubMed
Summary
This summary is machine-generated.

Selecting optimal DNA barcodes for high-throughput sequencing is crucial for accurate sample multiplexing. Our new tool efficiently selects barcode subsets, tolerating sequencing errors and optimizing nucleotide balance for diverse applications.

Keywords:
BarcodeDNAInteger programmingMultiplexingOptimizationSequencing

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • High-throughput sequencing enables parallel analysis of multiple samples using unique DNA barcodes for identification.
  • Challenges exist in selecting optimal barcode sets that minimize sequencing errors and ensure nucleotide balance for accurate sample pooling.
  • Existing de novo barcode design tools are unsuitable for selecting subsets from larger candidate pools.

Purpose of the Study:

  • To develop a computational tool for selecting optimal barcode subsets for multiplex sequencing.
  • To address the challenge of efficiently managing and combining libraries with varying barcode requirements.
  • To provide a solution for compatibility checking and augmenting existing barcode sets.

Main Methods:

  • Formulated barcode selection as a minimization problem using a defined cost function and constraints.
  • Employed integer programming to solve the combinatorial optimization problem for barcode subset selection.
  • Developed a C-based implementation with a user-friendly web interface for accessibility.

Main Results:

  • The tool enables selection of optimal barcode sets from larger candidate pools, considering sequencing error tolerance and nucleotide balance.
  • It can verify the compatibility of user-defined barcode sets for pooling multiple libraries.
  • The system can also augment existing barcode sets with new, compatible sequences.

Conclusions:

  • The developed method effectively addresses the challenge of barcode selection for increasing sequencing capacities.
  • It provides a practical solution for optimizing sample multiplexing by tolerating sequencing errors and balancing nucleotide composition.
  • The web-accessible tool simplifies the process for researchers in core facilities and beyond.