Evidence map›Paper›PMID 25506826›Full record

ArticlePloS one2014

IM-TORNADO: a tool for comparison of 16S reads from paired-end libraries.

Patricio Jeraldo, Krishna Kalari, Xianfeng Chen, Jaysheel Bhavsar, Ashutosh Mangalam, Bryan White, Heidi Nelson, Jean-Pierre Kocher, Nicholas Chia

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

65 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. Frontiers in immunology · 2021
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5 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Patricio JeraldoDepartment 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 America.
Krishna KalariDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America.
Xianfeng ChenDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America.
Jaysheel BhavsarDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America.
Ashutosh MangalamDepartment of Immunology, Mayo Clinic, Rochester, Minnesota, United States of America.
Bryan WhiteInstitute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America; Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.
Heidi NelsonDepartment of Surgery, Mayo Clinic, Rochester, Minnesota, United States of America.
Jean-Pierre KocherDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America.
Nicholas ChiaDepartment 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 America; Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, Rochester, Minnesota, United States of America.

Funding

Microbial Metabolic Toxicity Drives Colon CancerR01CA179243 · NCI · MAYO CLINIC ROCHESTER · PI CHIA, NICHOLAS · 2014 to 2018
$2.0M
NCI NIH HHS R01 CA179243
6 · The paper itself

Abstract

motivation16S 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.

resultsWe 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. AVAILABILITY AND IMPLEMENTATION: 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.

Indexed as

MicrobiotaGene LibraryGenes, rRNAHumansPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNASoftwareRNA, Ribosomal, 16S

Identifiers

PMID25506826
PMCPMC4266640

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.