Evidence map›Paper›PMID 26820746›Full record

ArticlePLoS computational biology2016

NINJA-OPS: Fast Accurate Marker Gene Alignment Using Concatenated Ribosomes.

Gabriel A Al-Ghalith, Emmanuel Montassier, Henry N Ward, Dan Knights

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
5.9field-weighted citation impact, top 3% of its field
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

36 citing papers in PubMed, 82 citations in OpenAlex.

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  11. An Assessment of theMicroorganisms · 2021
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  18. Salivary Microbiome and Cigarette Smoking: A First of Its Kind Investigation in Jordan.International journal of environmental research and public health · 2019
    Article
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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

4 authors at 2 institutions in 2 countries.

Gabriel A Al-GhalithBiomedical Informatics and Computational Biology, University of Minnesota, Minneapolis, Minnesota, United States of America.
Emmanuel MontassierUniversity of Nantes, Nantes, France.
Henry N WardLawrence University, Appleton, Wisconsin, United States of America.
Dan KnightsBiomedical Informatics and Computational Biology, University of Minnesota, Minneapolis, Minnesota, United States of America.
University of Minnesota · USLawrence University · US

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR000114 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R · 2012 to 2015
$35.0M
Early life antibiotics, gut microbiome development, and risk of childhood obesityR01AI121383 · NIAID · CHILDREN'S HOSP OF PHILADELPHIA · PI GERBER, JEFFREY STEPHEN, KNIGHTS, DAN · 2016 to 2020
$3.7M
NCATS NIH HHS UL1 TR000114NIAID NIH HHS R01 AI121383NIAID NIH HHS R01AI121383
6 · The paper itself

Abstract

The explosion of bioinformatics technologies in the form of next generation sequencing (NGS) has facilitated a massive influx of genomics data in the form of short reads. Short read mapping is therefore a fundamental component of next generation sequencing pipelines which routinely match these short reads against reference genomes for contig assembly. However, such techniques have seldom been applied to microbial marker gene sequencing studies, which have mostly relied on novel heuristic approaches. We propose NINJA Is Not Just Another OTU-Picking Solution (NINJA-OPS, or NINJA for short), a fast and highly accurate novel method enabling reference-based marker gene matching (picking Operational Taxonomic Units, or OTUs). NINJA takes advantage of the Burrows-Wheeler (BW) alignment using an artificial reference chromosome composed of concatenated reference sequences, the "concatesome," as the BW input. Other features include automatic support for paired-end reads with arbitrary insert sizes. NINJA is also free and open source and implements several pre-filtering methods that elicit substantial speedup when coupled with existing tools. We applied NINJA to several published microbiome studies, obtaining accuracy similar to or better than previous reference-based OTU-picking methods while achieving an order of magnitude or more speedup and using a fraction of the memory footprint. NINJA is a complete pipeline that takes a FASTA-formatted input file and outputs a QIIME-formatted taxonomy-annotated BIOM file for an entire MiSeq run of human gut microbiome 16S genes in under 10 minutes on a dual-core laptop.

Indexed as

SoftwareChromosome MappingComputational BiologyHigh-Throughput Nucleotide SequencingHumansMetagenomeMicrobiotaRibosomes

Identifiers

PMID26820746
PMCPMC4731464
OpenAlexW2390359191

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.