Evidence map›Paper›PMID 27853510›Full record

ArticleF1000Research2016

CoNet app: inference of biological association networks using Cytoscape.

Karoline Faust, Jeroen Raes

Abstract read
In one paragraph

Article in F1000Research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 314 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
314citing papers in PubMed, 2 pooled it
–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

314 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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254 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

2 authors.

Karoline FaustCenter for the Biology of Disease, VIB, Leuven, 3000, Belgium; Microbiology Unit, Faculty of Sciences and Bioengineering Sciences, VUB, Brussel, 1050, Belgium; Department of Microbiology and Immunology, REGA Institute, KU Leuven, 3000, Belgium.
Jeroen RaesCenter for the Biology of Disease, VIB, Leuven, 3000, Belgium; Department of Microbiology and Immunology, REGA Institute, KU Leuven, 3000, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here we present the Cytoscape app version of our association network inference tool CoNet. Though CoNet was developed with microbial community data from sequencing experiments in mind, it is designed to be generic and can detect associations in any data set where biological entities (such as genes, metabolites or species) have been observed repeatedly. The CoNet app supports Cytoscape 2.x and 3.x and offers a variety of network inference approaches, which can also be combined. Here we briefly describe its main features and illustrate its use on microbial count data obtained by 16S rDNA sequencing of arctic soil samples. The CoNet app is available at: http://apps.cytoscape.org/apps/conet.

Indexed as

association networksCoNetCytoscapemicrobial networksnetwork constructionnetwork generationnetwork inference

Identifiers

PMID27853510
PMCPMC5089131

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.