Evidence map›Paper›PMID 34453168›Full record

ArticleBriefings in bioinformatics2021

Functional meta-omics provide critical insights into long- and short-read assemblies.

Valentina Galata, Susheel Bhanu Busi, Benoît Josef Kunath, Laura de Nies, Magdalena Calusinska, Rashi Halder, Patrick May, Paul Wilmes, Cédric Christian Laczny

Open access · hybridAbstract read
In one paragraph

Article in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Valentina GalataLuxembourg Centre for Systems Biomedicine, 7, avenue des Hauts-Fourneaux, Esch-sur-Alzette L-4362, Luxembourg.ORCID 0000-0002-4541-427X
Susheel Bhanu BusiLuxembourg Centre for Systems Biomedicine, 7, avenue des Hauts-Fourneaux, Esch-sur-Alzette L-4362, Luxembourg.ORCID 0000-0001-7559-3400
Benoît Josef KunathLuxembourg Centre for Systems Biomedicine, 7, avenue des Hauts-Fourneaux, Esch-sur-Alzette L-4362, Luxembourg.ORCID 0000-0002-3356-8562
Laura de NiesLuxembourg Centre for Systems Biomedicine, 7, avenue des Hauts-Fourneaux, Esch-sur-Alzette L-4362, Luxembourg.ORCID 0000-0002-6483-7489
Magdalena CalusinskaBioSystems and Bioprocessing Engineering, Luxembourg Institute of Science and Technology, Rue du Brill 41, Belvaux L-4422, Luxembourg.ORCID 0000-0003-2270-2217
Rashi HalderLuxembourg Centre for Systems Biomedicine, 7, avenue des Hauts-Fourneaux, Esch-sur-Alzette L-4362, Luxembourg.ORCID 0000-0002-1402-1254
Patrick MayLuxembourg Centre for Systems Biomedicine, 7, avenue des Hauts-Fourneaux, Esch-sur-Alzette L-4362, Luxembourg.ORCID 0000-0001-8698-3770
Paul WilmesLuxembourg Centre for Systems Biomedicine, 7, avenue des Hauts-Fourneaux, Esch-sur-Alzette L-4362, Luxembourg.ORCID 0000-0002-6478-2924
Cédric Christian LacznyLuxembourg Centre for Systems Biomedicine, 7, avenue des Hauts-Fourneaux, Esch-sur-Alzette L-4362, Luxembourg.ORCID 0000-0002-1100-1282
University of Luxembourg · LULuxembourg Institute of Science and Technology · LU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-world evaluations of metagenomic reconstructions are challenged by distinguishing reconstruction artifacts from genes and proteins present in situ. Here, we evaluate short-read-only, long-read-only and hybrid assembly approaches on four different metagenomic samples of varying complexity. We demonstrate how different assembly approaches affect gene and protein inference, which is particularly relevant for downstream functional analyses. For a human gut microbiome sample, we use complementary metatranscriptomic and metaproteomic data to assess the metagenomic data-based protein predictions. Our findings pave the way for critical assessments of metagenomic reconstructions. We propose a reference-independent solution, which exploits the synergistic effects of multi-omic data integration for the in situ study of microbiomes using long-read sequencing data.

Indexed as

MetagenomeComputational BiologyDrug Resistance, MicrobialHigh-Throughput Nucleotide SequencingHumansMetagenomicsfunctional omicshybrid assemblylong readsmeta-omicsOxford Nanopore Technologiesthird-generation sequencing

Identifiers

PMID34453168
PMCPMC8575027
OpenAlexW3193653929

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.