Evidence map›Paper›PMID 27986083›Full record

ArticleGenome biology2016

IMP: a pipeline for reproducible reference-independent integrated metagenomic and metatranscriptomic analyses.

Shaman Narayanasamy, Yohan Jarosz, Emilie E L Muller, Anna Heintz-Buschart, Malte Herold, Anne Kaysen, Cédric C Laczny, Nicolás Pinel, Patrick May, Paul Wilmes

Abstract read
In one paragraph

Article in Genome biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed
–field-weighted citation impact
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

79 citing papers in PubMed.

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  7. Computational Metagenomics: State of the Art.International journal of molecular sciences · 2025
    Review
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19 more citing papers are in PubMed but not listed here.

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

10 authors.

Shaman NarayanasamyLuxembourg Centre for Systems Biomedicine, 7, avenue des Hauts-Fourneaux, Esch-sur-Alzette, L-4362, Luxembourg.
Yohan JaroszLuxembourg Centre for Systems Biomedicine, 7, avenue des Hauts-Fourneaux, Esch-sur-Alzette, L-4362, Luxembourg.
Emilie E L MullerLuxembourg Centre for Systems Biomedicine, 7, avenue des Hauts-Fourneaux, Esch-sur-Alzette, L-4362, Luxembourg.
Anna Heintz-BuschartLuxembourg Centre for Systems Biomedicine, 7, avenue des Hauts-Fourneaux, Esch-sur-Alzette, L-4362, Luxembourg.
Malte HeroldLuxembourg Centre for Systems Biomedicine, 7, avenue des Hauts-Fourneaux, Esch-sur-Alzette, L-4362, Luxembourg.
Anne KaysenLuxembourg Centre for Systems Biomedicine, 7, avenue des Hauts-Fourneaux, Esch-sur-Alzette, L-4362, Luxembourg.
Cédric C LacznyLuxembourg Centre for Systems Biomedicine, 7, avenue des Hauts-Fourneaux, Esch-sur-Alzette, L-4362, Luxembourg.
Nicolás PinelInstitute of Systems Biology, 401 Terry Avenue North, Seattle, WA, 98109, USA.
Patrick MayLuxembourg Centre for Systems Biomedicine, 7, avenue des Hauts-Fourneaux, Esch-sur-Alzette, L-4362, Luxembourg.
Paul WilmesLuxembourg Centre for Systems Biomedicine, 7, avenue des Hauts-Fourneaux, Esch-sur-Alzette, L-4362, Luxembourg. paul.wilmes@uni.lu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Existing workflows for the analysis of multi-omic microbiome datasets are lab-specific and often result in sub-optimal data usage. Here we present IMP, a reproducible and modular pipeline for the integrated and reference-independent analysis of coupled metagenomic and metatranscriptomic data. IMP incorporates robust read preprocessing, iterative co-assembly, analyses of microbial community structure and function, automated binning, as well as genomic signature-based visualizations. The IMP-based data integration strategy enhances data usage, output volume, and output quality as demonstrated using relevant use-cases. Finally, IMP is encapsulated within a user-friendly implementation using Python and Docker. IMP is available at http://r3lab.uni.lu/web/imp/ (MIT license).

Indexed as

SoftwareAlgorithmsComputational BiologyGenomicsMetagenomeMicrobiotaTranscriptomeWorkflowMetagenomicsMetatranscriptomicsMicrobial ecologyMicrobiomeMulti-omics data integrationReproducibility

Identifiers

PMID27986083
PMCPMC5159968

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.