Slider—maximum use of probability information for alignment of short sequence reads and SNP detection

@article{Malhis2009SlidermaximumUO,
  title={Slider—maximum use of probability information for alignment of short sequence reads and SNP detection},
  author={Nawar Malhis and Yaron S. N. Butterfield and Martin Ester and Steven J. M. Jones},
  journal={Bioinformatics},
  year={2009},
  volume={25},
  pages={6 - 13}
}
MOTIVATION A plethora of alignment tools have been created that are designed to best fit different types of alignment conditions. While some of these are made for aligning Illumina Sequence Analyzer reads, none of these are fully utilizing its probability (prb) output. In this article, we will introduce a new alignment approach (Slider) that reduces the alignment problem space by utilizing each read base's probabilities given in the prb files. RESULTS Compared with other aligners, Slider has… CONTINUE READING
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