Evidence map›Paper›PMID 31116375›Full record

ArticleBioinformatics (Oxford, England)2019

MetaQUBIC: a computational pipeline for gene-level functional profiling of metagenome and metatranscriptome.

Anjun Ma, Minxuan Sun, Adam McDermaid, Bingqiang Liu, Qin Ma

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Anjun MaDepartment of Biomedical Informatics, The Ohio State University, Columbus, OH, USA.
Minxuan SunDepartment of Computer Science, South Dakota State University, Brookings, SD, USA.
Adam McDermaidDepartment of Biomedical Informatics, The Ohio State University, Columbus, OH, USA.
Bingqiang LiuSchool of Mathematics, Shandong University, Jinan, China.
Qin MaDepartment of Biomedical Informatics, The Ohio State University, Columbus, OH, USA.
South Dakota State University · USThe Ohio State University · USShandong University · CN

Funding

The OSU Center for Clinical and Translational Science: Advancing Today's Discoveries to Improve HealthUL1TR002733 · NCATS · OHIO STATE UNIVERSITY · PI RINGEL, MATTHEW D · 2018 to 2022
$28.9M
NCATS NIH HHS UL1 TR002733
6 · The paper itself

Abstract

motivationMetagenomic and metatranscriptomic analyses can provide an abundance of information related to microbial communities. However, straightforward analysis of this data does not provide optimal results, with a required integration of data types being needed to thoroughly investigate these microbiomes and their environmental interactions.

resultsHere, we present MetaQUBIC, an integrated biclustering-based computational pipeline for gene module detection that integrates both metagenomic and metatranscriptomic data. Additionally, we used this pipeline to investigate 735 paired DNA and RNA human gut microbiome samples, resulting in a comprehensive hybrid gene expression matrix of 2.3 million cross-species genes in the 735 human fecal samples and 155 functional enriched gene modules. We believe both the MetaQUBIC pipeline and the generated comprehensive human gut hybrid expression matrix will facilitate further investigations into multiple levels of microbiome studies. AVAILABILITY AND IMPLEMENTATION: The package is freely available at https://github.com/OSU-BMBL/metaqubic. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Gastrointestinal MicrobiomeMetagenomeFecesHumansMetagenomicsTranscriptome

Identifiers

PMID31116375
PMCPMC6821265
OpenAlexW2945645154

What OpenQuestion holds

Textmetadata
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.