Evidence map›Paper›PMID 28155666›Full record

ArticleBMC bioinformatics2016

RiboTagger: fast and unbiased 16S/18S profiling using whole community shotgun metagenomic or metatranscriptome surveys.

Chao Xie, Chin Lui Wesley Goi, Daniel H Huson, Peter F R Little, Rohan B H Williams

Abstract read
In one paragraph

Article in BMC bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

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  10. Draft Genome Sequence of a "Genome announcements · 2018
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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

5 authors.

Chao XieSingapore Centre for Environmental Life Sciences Engineering, National University of Singapore, Singapore, 117456, Singapore. xiechaos@gmail.com.
Chin Lui Wesley GoiSingapore Centre for Environmental Life Sciences Engineering, National University of Singapore, Singapore, 117456, Singapore.
Daniel H HusonCentre for Bioinformatics, Tuebingen University, Tuebingen, 72076, Germany.
Peter F R LittleSingapore Centre for Environmental Life Sciences Engineering, National University of Singapore, Singapore, 117456, Singapore.
Rohan B H WilliamsSingapore Centre for Environmental Life Sciences Engineering, National University of Singapore, Singapore, 117456, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTaxonomic profiling of microbial communities is often performed using small subunit ribosomal RNA (SSU) amplicon sequencing (16S or 18S), while environmental shotgun sequencing is often focused on functional analysis. Large shotgun datasets contain a significant number of SSU sequences and these can be exploited to perform an unbiased SSU--based taxonomic analysis.

resultsHere we present a new program called RiboTagger that identifies and extracts taxonomically informative ribotags located in a specified variable region of the SSU gene in a high-throughput fashion.

conclusionsRiboTagger permits fast recovery of SSU-RNA sequences from shotgun nucleic acid surveys of complex microbial communities. The program targets all three domains of life, exhibits high sensitivity and specificity and is substantially faster than comparable programs.

Indexed as

MetagenomeSoftwareTranscriptomeBacteriaComputational BiologyDNA, RibosomalHigh-Throughput Nucleotide SequencingMetagenomicsRNA, Ribosomal, 16SRNA, Ribosomal, 18SSequence Analysis, DNADNA, RibosomalRNA, Ribosomal, 16SRNA, Ribosomal, 18SMicrobial community profilingMicrobial ecologySequence analysisShort subunit ribosomal RNA

Identifiers

PMID28155666
PMCPMC5259810

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.