Bayexer

Bayexer is a Bayesian demultiplexing algorithm designed for assigning reads to the samples of origin after high-throughput sequencing. Unlike existing tools, Bayexer uses information extracted from contaminant sequences of targeting reads as the training dataset for a naïve Bayes classifier, resulting in higher accuracy, capability, and speed on various real datasets.

Topic

DNA;Sequencing

Detail

  • Operation: Sequence conversion

  • Software interface: Command-line user interface

  • Language: Perl

  • License: GNU General Public License v3.0

  • Cost: Free

  • Version name: -

  • Credit: Autonomous Projects of the State Key Laboratory of Freshwater Ecology and Biotechnology

  • Input: -

  • Output: -

  • Contact: Tao Li yihaisi@gmail.com, Haisi Yi, Zhe Li lizhe@ibcas.ac.cn

  • Collection: -

  • Maturity: -

Publications

  • Bayexer: an accurate and fast Bayesian demultiplexer for Illumina sequences.
  • Yi H, et al. Bayexer: an accurate and fast Bayesian demultiplexer for Illumina sequences. Bayexer: an accurate and fast Bayesian demultiplexer for Illumina sequences. 2015; 31:4000-2. doi: 10.1093/bioinformatics/btv501
  • https://doi.org/10.1093/bioinformatics/btv501
  • PMID: 26315903
  • PMC: -

Download and documentation

< Back to DB search