IM-TORNADO: a tool for comparison of 16S reads from paired-end libraries.
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, existin...
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doaj-5d2e6b97185042c1b0b93628984bd5662020-11-24T22:06:50ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-01912e11480410.1371/journal.pone.0114804IM-TORNADO: a tool for comparison of 16S reads from paired-end libraries.Patricio JeraldoKrishna KalariXianfeng ChenJaysheel BhavsarAshutosh MangalamBryan WhiteHeidi NelsonJean-Pierre KocherNicholas Chia16S 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.http://europepmc.org/articles/PMC4266640?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Patricio Jeraldo Krishna Kalari Xianfeng Chen Jaysheel Bhavsar Ashutosh Mangalam Bryan White Heidi Nelson Jean-Pierre Kocher Nicholas Chia |
spellingShingle |
Patricio Jeraldo Krishna Kalari Xianfeng Chen Jaysheel Bhavsar Ashutosh Mangalam Bryan White Heidi Nelson Jean-Pierre Kocher Nicholas Chia IM-TORNADO: a tool for comparison of 16S reads from paired-end libraries. PLoS ONE |
author_facet |
Patricio Jeraldo Krishna Kalari Xianfeng Chen Jaysheel Bhavsar Ashutosh Mangalam Bryan White Heidi Nelson Jean-Pierre Kocher Nicholas Chia |
author_sort |
Patricio Jeraldo |
title |
IM-TORNADO: a tool for comparison of 16S reads from paired-end libraries. |
title_short |
IM-TORNADO: a tool for comparison of 16S reads from paired-end libraries. |
title_full |
IM-TORNADO: a tool for comparison of 16S reads from paired-end libraries. |
title_fullStr |
IM-TORNADO: a tool for comparison of 16S reads from paired-end libraries. |
title_full_unstemmed |
IM-TORNADO: a tool for comparison of 16S reads from paired-end libraries. |
title_sort |
im-tornado: a tool for comparison of 16s reads from paired-end libraries. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2014-01-01 |
description |
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. |
url |
http://europepmc.org/articles/PMC4266640?pdf=render |
work_keys_str_mv |
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