Selected article for: "deep sequencing and quality control"

Author: Sofia Morfopoulou; Vincent Plagnol
Title: Bayesian mixture analysis for metagenomic community profiling.
  • Document date: 2014_7_25
  • ID: 058r9486_31
    Snippet: Following the initial processing, we used metaMix for species identification and abundance estimation. The resulting species profile is shown in Table 4 ; the 13 metaMix entries correspond to 10 species. The most abundant organism was the φX174 bacteriophage, which is routinely used for deep-sequencing quality control. More interestingly, we identified an astrovirus. Five short assembled contigs (44 reads) with length ranging between 167bp and 4.....
    Document: Following the initial processing, we used metaMix for species identification and abundance estimation. The resulting species profile is shown in Table 4 ; the 13 metaMix entries correspond to 10 species. The most abundant organism was the φX174 bacteriophage, which is routinely used for deep-sequencing quality control. More interestingly, we identified an astrovirus. Five short assembled contigs (44 reads) with length ranging between 167bp and 471bp and two non-assembled reads were assigned to the Astrovirus VA1 with a probability score of 1 (Figure 2) . metaMix also identified a number of bacteria supported by a few reads. These are either known laboratory reagent contaminants or human skin associated contaminants (Salter et al., 2014) . The analysis completed in 29 minutes.

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