Evidence map›Paper›PMID 27806686›Full record

ArticleBMC genomics2016

In silico region of difference (RD) analysis of Mycobacterium tuberculosis complex from sequence reads using RD-Analyzer.

Kiatichai Faksri, Eryu Xia, Jun Hao Tan, Yik-Ying Teo, Rick Twee-Hee Ong

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 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
2.2field-weighted citation impact, top 13% 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, 56 citations in OpenAlex.

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  11. Pathogens (Basel, Switzerland) · 2022
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  15. Whole-genome sequencing ofEpidemiology and infection · 2022
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  17. Understanding the Genetic Diversity ofFrontiers in genetics · 2022
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  19. Evaluation of PCRAfrican health sciences · 2021
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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 at 2 institutions in 2 countries.

Kiatichai FaksriDepartment of Microbiology Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Eryu XiaNUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore, Singapore.
Jun Hao TanSaw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building, 12 Science Drive 2, #10-01, Singapore, 117549, Singapore.
Yik-Ying TeoNUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore, Singapore.
Rick Twee-Hee OngSaw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building, 12 Science Drive 2, #10-01, Singapore, 117549, Singapore. twee_hee_ong@nuhs.edu.sg.ORCID 0000-0002-0197-7820
National University of Singapore · SGKhon Kaen University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhole-genome sequencing is increasingly used in clinical diagnosis of tuberculosis and study of Mycobacterium tuberculosis complex (MTC). MTC consists of several genetically homogenous mycobacteria species which can cause tuberculosis in humans and animals. Regions of difference (RDs) are commonly regarded as gold standard genetic markers for MTC classification.

resultsWe develop RD-Analyzer, a tool that can accurately infer the species and lineage of MTC isolates from sequence reads based on the presence and absence of a set of 31 RDs. Applied on a publicly available diverse set of 377 sequenced MTC isolates from known major species and lineages, RD-Analyzer achieved an accuracy of 98.14 % (370/377) in species prediction and a concordance of 98.47 % (257/261) in Mycobacterium tuberculosis lineage prediction compared to predictions based on single nucleotide polymorphism markers. By comparing respective sequencing read depths on each genomic position between isolates of different sublineages, we were able to identify the known RD markers in different sublineages of Lineage 4 and provide support for six potential delineating markers having high sensitivities and specificities for sublineage prediction. An extended version of RD-Analyzer was thus developed to allow user-defined RDs for lineage prediction.

conclusionsRD-Analyzer is a useful and accurate tool for species, lineage and sublineage prediction using known RDs of MTC from sequence reads and is extendable to accepting user-defined RDs for analysis. RD-Analyzer is written in Python and is freely available at https://github.com/xiaeryu/RD-Analyzer .

Indexed as

Genetic VariationGenome, BacterialAlgorithmsComputational BiologyDatasets as TopicGenetic MarkersGenomicsHigh-Throughput Nucleotide SequencingMycobacterium tuberculosisReproducibility of ResultsWorkflowGenetic MarkersMycobacterium tuberculosis complexRegion of difference analysisWhole-genome sequence analysis

Identifiers

PMID27806686
PMCPMC5093977
OpenAlexW2546528567

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.