Evidence map›Paper›PMID 34688246›Full record

ArticleBMC bioinformatics2021

TAGOPSIN: collating taxa-specific gene and protein functional and structural information.

Eshan Bundhoo, Anisah W Ghoorah, Yasmina Jaufeerally-Fakim

Abstract read
In one paragraph

Article in BMC bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Large-scale Pan Genomic Analysis ofEvolutionary bioinformatics online · 2024
    Article
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.

Eshan Bundhoo *Department of Agricultural and Food Science, Faculty of Agriculture, University of Mauritius, Reduit, 80837, Mauritius.
Anisah W Ghoorah *Department of Digital Technologies, Faculty of Information, Communication and Digital Technologies, University of Mauritius, Reduit, 80837, Mauritius. a.ghoorah@uom.ac.mu.ORCID http://orcid.org/0000-0001-8273-6000
Yasmina Jaufeerally-FakimDepartment of Agricultural and Food Science, Faculty of Agriculture, University of Mauritius, Reduit, 80837, Mauritius.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe wealth of biological information available nowadays in public databases has triggered an unprecedented rise in multi-database search and data retrieval for obtaining detailed information about key functional and structural entities. This concerns investigations ranging from gene or genome analysis to protein structural analysis. However, the retrieval of interconnected data from a number of different databases is very often done repeatedly in an unsystematic way.

resultsHere, we present TAxonomy, Gene, Ontology, Protein, Structure INtegrated (TAGOPSIN), a command line program written in Java for rapid and systematic retrieval of select data from seven of the most popular public biological databases relevant to comparative genomics and protein structure studies. The program allows a user to retrieve organism-centred data and assemble them in a single data warehouse which constitutes a useful resource for several biological applications. TAGOPSIN was tested with a number of organisms encompassing eukaryotes, prokaryotes and viruses. For example, it successfully integrated data for about 17,000 UniProt entries of Homo sapiens and 21 UniProt entries of human coronavirus.

conclusionTAGOPSIN demonstrates efficient data integration whereby manipulation of interconnected data is more convenient than doing multi-database queries. The program facilitates for instance interspecific comparative analyses of protein-coding genes in a molecular evolutionary study, or identification of taxa-specific protein domains and three-dimensional structures. TAGOPSIN is available as a JAR file at https://github.com/ebundhoo/TAGOPSIN and is released under the GNU General Public License.

Indexed as

ProteinsSoftwareComputational BiologyDatabases, FactualDatabases, GeneticGenomicsInformation Storage and RetrievalUser-Computer InterfaceProteinsComparative genomicsDatabaseData integrationData retrievalObject-oriented biology

Identifiers

PMID34688246
PMCPMC8541804

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LicenceCC BY
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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.