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Data released on December 20, 2017

Supporting data for "Hybrid-denovo: A de novo OTU-picking pipeline integrating single-end and paired-end16S sequence tags"

Chen, X; Johnson, S; Jeraldo, P; Wang, J; Chia, N; Kocher, J, A; Chen, J (2017): Supporting data for "Hybrid-denovo: A de novo OTU-picking pipeline integrating single-end and paired-end16S sequence tags" GigaScience Database. http://dx.doi.org/10.5524/100388 RIS BibTeX Text

Illumina paired-end sequencing has been increasingly popular for 16S rRNA gene-based microbiota profiling. It provides higher phylogenetic resolution than single-end reads due to a longer read length. However, the reverse read (R2) often has much significantly base quality and a large proportion of R2s will be discarded after quality control, resulting in a mixture of paired-end and single-end reads. A typical 16S analysis pipeline usually processes either paired-end or single-end reads but not a mixture. Thus, the quantification accuracy and statistical power will be reduced due to the loss of a large amount of reads. As a result, rare taxa may not be detectable with paired-end approach or low taxonomic resolution will be resulted with single-end approach.
To have both the higher phylogenetic resolution provided by paired-end reads and the higher sequence coverage by single-end reads, we propose a novel de novo OTU-picking pipeline, hybrid-denovo, that can process a hybrid of single-end and paired-end reads. Using high quality paired-end reads as a “gold standard”, we show that hybrid-denovo achieved the highest correlation with the “gold standard” and performed better than the approaches based on paired-end or single-end reads in terms of quantifying the microbial diversity and taxonomic abundances. By applying our method to a rheumatoid arthritis (RA) data set, we demonstrated that hybrid-denovo captured more microbial diversity and identified more RA-associated taxa than paired-end or single-end approach. Hybrid-denovo is more powerful than de novo OTU picking approaches based on paired-end or single-end 16S sequence tags, and is recommended for 16S rRNA gene targeted paired-end sequencing data.

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Related manuscripts:

doi:10.1093/gigascience/gix129

Additional information:

http://bioinformaticstools.mayo.edu/research/hybrid-denovo/

Accessions (data not in GigaDB):

BioProject: PRJNA317370
BioProject: PRJEB13940

Keywords:

microbiome otu picking 16s rrna 

Software

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Funding:

  • Funding body - Mayo Clinic
  • Comment - Center for Individualized Medicine
  • Awardee - Xianfeng Chen

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File NameSample IDFile TypeFile FormatSizeRelease Date 
SoftwareTAR5.59 GB2017-11-28
SoftwareTAR1.01 GB2017-11-28
ReadmeTEXT2.6 KB2017-11-28
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