Evidence map›Paper›PMID 32956448›Full record

ArticleBioinformatics (Oxford, England)2021

FlaGs and webFlaGs: discovering novel biology through the analysis of gene neighbourhood conservation.

Chayan Kumar Saha, Rodrigo Sanches Pires, Harald Brolin, Maxence Delannoy, Gemma Catherine Atkinson

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing 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

89 citing papers in PubMed.

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  9. Periplasmic detoxification of urate hydroperoxide underpinsbioRxiv : the preprint server for biology · 2026
    Article
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29 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

5 authors.

Chayan Kumar SahaDepartment of Molecular Biology and Umeå Centre for Microbial Research, Umeå University, Umeå 901 87, Sweden.
Rodrigo Sanches PiresDepartment of Chemistry, KTH Royal Institute of Technology, Stockholm 100 44, Sweden.
Harald BrolinDepartment of Molecular and Clinical Medicine, Wallenberg Laboratory, University of Gothenburg, Gothenburg 413 45, Sweden.
Maxence DelannoyDépartement Génie Biologique, Campus SophiaTech, Université Nice Sophia Antipolis, Nice 06900, France.
Gemma Catherine AtkinsonDepartment of Molecular Biology and Umeå Centre for Microbial Research, Umeå University, Umeå 901 87, Sweden.ORCID 0000-0002-4861-4584

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

summaryAnalysis of conservation of gene neighbourhoods over different evolutionary levels is important for understanding operon and gene cluster evolution, and predicting functional associations. Our tool FlaGs (standing for Flanking Genes) takes a list of NCBI protein accessions as input, clusters neighbourhood-encoded proteins into homologous groups using sensitive sequence searching, and outputs a graphical visualization of the gene neighbourhood and its conservation, along with a phylogenetic tree annotated with flanking gene conservation. FlaGs has demonstrated utility for molecular evolutionary analysis, having uncovered a new toxin-antitoxin system in prokaryotes and bacteriophages. The web tool version of FlaGs (webFlaGs) can optionally include a BLASTP search against a reduced RefSeq database to generate an input accession list and analyse neighbourhood conservation within the same run. AVAILABILITY AND IMPLEMENTATION: FlaGs can be downloaded from https://github.com/GCA-VH-lab/FlaGs or run online at http://www.webflags.se/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

SoftwareBiologyEvolution, MolecularPhylogeny

Identifiers

PMID32956448
PMCPMC8189683

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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.