Journal article
IM-TORNADO: a tool for comparison of 16S reads from paired-end libraries
PloS one, Vol.9(12), e114804
2014
DOI: 10.1371/journal.pone.0114804
PMCID: PMC4266640
PMID: 25506826
Abstract
16S rDNA hypervariable tag sequencing has become the de facto method for accessing microbial diversity. Illumina paired-end sequencing, which produces two separate reads for each DNA fragment, has become the platform of choice for this application. However, when the two reads do not overlap, existing computational pipelines analyze data from read separately and underutilize the information contained in the paired-end reads. We created a workflow known as Illinois Mayo Taxon Organization from RNA Dataset Operations (IM-TORNADO) for processing non-overlapping reads while retaining maximal information content. Using synthetic mock datasets, we show that the use of both reads produced answers with greater correlation to those from full length 16S rDNA when looking at taxonomy, phylogeny, and beta-diversity. IM-TORNADO is freely available at http://sourceforge.net/projects/imtornado and produces BIOM format output for cross compatibility with other pipelines such as QIIME, mothur, and phyloseq.
Details
- Title: Subtitle
- IM-TORNADO: a tool for comparison of 16S reads from paired-end libraries
- Creators
- Patricio Jeraldo - Department of Surgery, Mayo Clinic, Rochester, Minnesota, United States of America; Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of AmericaKrishna Kalari - Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of AmericaXianfeng Chen - Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of AmericaJaysheel Bhavsar - Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of AmericaAshutosh Mangalam - Department of Immunology, Mayo Clinic, Rochester, Minnesota, United States of AmericaBryan White - University of Illinois Urbana-ChampaignHeidi Nelson - Department of Surgery, Mayo Clinic, Rochester, Minnesota, United States of AmericaJean-Pierre Kocher - Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of AmericaNicholas Chia - Mayo Clinic
- Resource Type
- Journal article
- Publication Details
- PloS one, Vol.9(12), e114804
- DOI
- 10.1371/journal.pone.0114804
- PMID
- 25506826
- PMCID
- PMC4266640
- NLM abbreviation
- PLoS One
- ISSN
- 1932-6203
- eISSN
- 1932-6203
- Publisher
- United States
- Grant note
- R01 CA179243 / NCI NIH HHS
- Language
- English
- Date published
- 2014
- Academic Unit
- Pathology; Iowa Neuroscience Institute
- Record Identifier
- 9983905530202771
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