Evidence map›Paper›PMID 29133277›Full record

ArticleGenomics, proteomics & bioinformatics2017

OrthoGNC: A Software for Accurate Identification of Orthologs Based on Gene Neighborhood Conservation.

Soheil Jahangiri-Tazehkand, Limsoon Wong, Changiz Eslahchi

Open access · goldAbstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 20 citations in OpenAlex.

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  8. Best match graphs.Journal of mathematical biology · 2019
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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

3 authors at 2 institutions in 2 countries.

Soheil Jahangiri-TazehkandDepartment of Computer Science, Shahid Beheshti University, Tehran 1983969411, Iran.
Limsoon WongSchool of Computing, National University of Singapore, Singapore 117417, Singapore.
Changiz EslahchiDepartment of Computer Science, Shahid Beheshti University, Tehran 1983969411, Iran. Electronic address: ch-eslahchi@sbu.ac.ir.
Shahid Beheshti University · IRNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Orthology relations can be used to transfer annotations from one gene (or protein) to another. Hence, detecting orthology relations has become an important task in the post-genomic era. Various genomic events, such as duplication and horizontal gene transfer, can cause erroneous assignment of orthology relations. In closely-related species, gene neighborhood information can be used to resolve many ambiguities in orthology inference. Here we present OrthoGNC, a software for accurately predicting pairwise orthology relations based on gene neighborhood conservation. Analyses on simulated and real data reveal the high accuracy of OrthoGNC. In addition to orthology detection, OrthoGNC can be employed to investigate the conservation of genomic context among potential orthologs detected by other methods. OrthoGNC is freely available online at http://bs.ipm.ir/softwares/orthognc and http://tinyurl.com/orthoGNC.

Indexed as

Conserved SequenceGenesSequence Homology, Nucleic AcidSoftwareAlgorithmsComputer SimulationGenomicsMycobacteriumPhylogenyProteomeTime FactorsProteomeComparative genomicsGene neighborhood conservationGenomic contextHomologyOrthology

Identifiers

PMID29133277
PMCPMC5828658
OpenAlexW2767625091

What OpenQuestion holds

Textmetadata
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.