title: Filtering duplicate reads from 454 pyrosequencing data.
abstract: BACKGROUND
  Throughout the recent years, 454 pyrosequencing has emerged as an efficient alternative to traditional Sanger sequencing and is widely used in both de novo whole-genome sequencing and metagenomics. Especially the latter application is extremely sensitive to sequencing errors and artificially duplicated reads. Both are common in 454 pyrosequencing and can create a strong bias in the estimation of diversity and composition of a sample. To date, there are several tools that aim to remove both sequencing noise and duplicates. Nevertheless, duplicate removal is often based on nucleotide sequences rather than on the underlying flow values, which contain additional information.
  
  
  RESULTS
  With the novel tool JATAC, we present an approach towards a more accurate duplicate removal by analysing flow values directly. Making use of previous findings on 454 flow data characteristics, we combine read clustering with Bayesian distance measures. Finally, we provide a benchmark with an existing algorithm.
  
  
  BACKGROUND
  JATAC is freely available under the General Public License from http://malde.org/ketil/jatac/.
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors: Norwegian Marine Data Centre, Institute of Marine Research, P.O. Box 1870, N-5817 Bergen, Norway.
authors: Susanne
authors: S
authors: Balzer
authors: Ketil
authors: K
authors: Malde
authors: Markus A
authors: MA
authors: Grohme
authors: Inge
authors: I
authors: Jonassen
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D002874:Chromosome Mapping; D056186:Metagenomics; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software
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