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ANDES: Statistical tools for the ANalyses of DEep Sequencing.

BMC research notes | 2010

The advancements in DNA sequencing technologies have allowed researchers to progress from the analyses of a single organism towards the deep sequencing of a sample of organisms. With sufficient sequencing depth, it is now possible to detect subtle variations between members of the same species, or between mixed species with shared biomarkers, such as the 16S rRNA gene. However, traditional sequencing analyses of samples from largely homogeneous populations are often still based on multiple sequence alignments (MSA), where each sequence is placed along a separate row and similarities between aligned bases can be followed down each column. While this visual format is intuitive for a small set of aligned sequences, the representation quickly becomes cumbersome as sequencing depths cover loci hundreds or thousands of reads deep.

Pubmed ID: 20633290 RIS Download

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Associated grants

  • Agency: NIAID NIH HHS, United States
    Id: HHSN272200900007C
  • Agency: NIAID NIH HHS, United States
    Id: N01AI30071
  • Agency: NIAID NIH HHS, United States
    Id: P01 AI059443
  • Agency: NIAID NIH HHS, United States
    Id: U54 AI057157

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ANDES (tool)

RRID:SCR_002791

Software library and a suite of applications, written in Perl and R, for deep sequencing statistical analyses.

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