Evidence map›Paper›PMID 30390617›Full record

ArticleBMC bioinformatics2018

What we can see from very small size sample of metagenomic sequences.

Jaesik Kwak, Joonhong Park

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05085158 (Pathogen Detection in HIV-infected Children and Adolescents With Non-malarial Febrile Illnesses Using Metagenomic Next-generation Sequencing Approach in Uganda), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 33% 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.

NCT05085158 unknown statusnot on this mapstarted 2023, after this paper: background citation

Pathogen Detection in HIV-infected Children and Adolescents With Non-malarial Febrile Illnesses Using Metagenomic Next-generation Sequencing Approach in Uganda

TypeobservationalSponsorMakerere UniversityRan2023 to 2024Enrolled138ConditionsHIV Infection
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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

2 authors at 1 institution in 1 country.

Jaesik KwakGraduate Program in Technology Policy, Yonsei University, 50 Yonsei Ro, Seodaemun Gu, Seoul, 038722, South Korea.ORCID http://orcid.org/0000-0001-7704-7008
Joonhong ParkSchool of Civil and Environmental Engineering, Yonsei University, 50 Yonsei Ro, Seodaemun Gu, Seoul, 038722, South Korea. parkj@yonsei.ac.kr.
Yonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince the analysis of a large number of metagenomic sequences costs heavy computing resources and takes long time, we examined a selected small part of metagenomic sequences as "sample"s of the entire full sequences, both for a mock community and for 10 different existing metagenomics case studies. A mock community with 10 bacterial strains was prepared, and their mixed genome were sequenced by Hiseq. The hits of BLAST search for reference genome of each strain were counted. Each of 176 different small parts selected from these sequences were also searched by BLAST and their hits were also counted, in order to compare them to the original search results from the full sequences. We also prepared small parts of sequences which were selected from 10 publicly downloadable research data of MG-RAST service, and analyzed these samples with MG-RAST.

resultsBoth the BLAST search tests of the mock community and the results from the publicly downloadable researches of MG-RAST show that sampling an extremely small part from sequence data is useful to estimate brief taxonomic information of the original metagenomic sequences. For 9 cases out of 10, the most annotated classes from the MG-RAST analyses of the selected partial sample sequences are the same as the ones from the originals.

conclusionsWhen a researcher wants to estimate brief information of a metagenome's taxonomic distribution with less computing resources and within shorter time, the researcher can analyze a selected small part of metagenomic sequences. With this approach, we can also build a strategy to monitor metagenome samples of wider geographic area, more frequently.

Indexed as

MetagenomeMetagenomicsBase CompositionBase SequenceMolecular Sequence AnnotationPhylogenySample SizeBLASTMetagenomicsMG-RASTMock communitySampling

Identifiers

PMID30390617
PMCPMC6215618
OpenAlexW2899151586

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.