Evidence map›Paper›PMID 28320317›Full record

ArticleBMC bioinformatics2017

NaviGO: interactive tool for visualization and functional similarity and coherence analysis with gene ontology.

Qing Wei, Ishita K Khan, Ziyun Ding, Satwica Yerneni, Daisuke Kihara

Abstract read
In one paragraph

Article in BMC bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

5 authors.

Qing WeiDepartment of Computer Science, Purdue University, West Lafayette, IN, 47907, USA.
Ishita K KhanDepartment of Computer Science, Purdue University, West Lafayette, IN, 47907, USA.
Ziyun DingDepartment of Biological Science, Purdue University, West Lafayette, IN, 47907, USA.
Satwica YerneniDivision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, 55905, USA.
Daisuke KiharaDepartment of Computer Science, Purdue University, West Lafayette, IN, 47907, USA. dkihara@purdue.edu.ORCID http://orcid.org/0000-0003-4091-6614

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe number of genomics and proteomics experiments is growing rapidly, producing an ever-increasing amount of data that are awaiting functional interpretation. A number of function prediction algorithms were developed and improved to enable fast and automatic function annotation. With the well-defined structure and manual curation, Gene Ontology (GO) is the most frequently used vocabulary for representing gene functions. To understand relationship and similarity between GO annotations of genes, it is important to have a convenient pipeline that quantifies and visualizes the GO function analyses in a systematic fashion.

resultsNaviGO is a web-based tool for interactive visualization, retrieval, and computation of functional similarity and associations of GO terms and genes. Similarity of GO terms and gene functions is quantified with six different scores including protein-protein interaction and context based association scores we have developed in our previous works. Interactive navigation of the GO function space provides intuitive and effective real-time visualization of functional groupings of GO terms and genes as well as statistical analysis of enriched functions.

conclusionsWe developed NaviGO, which visualizes and analyses functional similarity and associations of GO terms and genes. The NaviGO webserver is freely available at: http://kiharalab.org/web/navigo .

Indexed as

Gene OntologyGenomicsfunction enrichment analysisFunction similarityGene functionGene function predictionGene ontologyGOGO annotationGO association scoreGO directed acyclic graphGO parental termsOntology

Identifiers

PMID28320317
PMCPMC5359872

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.