Evidence map›Paper›PMID 33788829›Full record

ArticlePLoS computational biology2021

CODON-Software to manual curation of prokaryotic genomes.

Bruno Merlin, Jorianne Thyeska Castro Alves, Pablo Henrique Caracciolo Gomes de Sá, Mônica Silva de Oliveira, Larissa Maranhão Dias, Gislenne da Silva Moia, Victória Cardoso Dos Santos, Adonney Allan de Oliveira Veras

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Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Bruno MerlinPostgraduate Program in Applied Computing, Federal University of Pará campus Tucuruí (CAMTUC-UFPA), Pará, Brazil.ORCID 0000-0001-7327-9960
Jorianne Thyeska Castro AlvesState University of Pará (UEPA) campus Marabá, Pará, Brazil.ORCID 0000-0001-8725-5994
Pablo Henrique Caracciolo Gomes de SáFederal Rural University of Amazonia Campus Tomé-Açu (UFRA), Pará, Brazil.ORCID 0000-0003-0398-209X
Mônica Silva de OliveiraPostgraduate Program in Applied Computing, Federal University of Pará campus Tucuruí (CAMTUC-UFPA), Pará, Brazil.ORCID 0000-0002-4996-1270
Larissa Maranhão DiasState University of Pará (UEPA) campus Santarém, Pará, Brazil.ORCID 0000-0003-2472-9843
Gislenne da Silva MoiaFaculty of Computing Engineering, Federal University of Pará campus Tucuruí (FECOMP-CAMTUC-UFPA), Pará, Brazil.ORCID 0000-0002-5794-530X
Victória Cardoso Dos SantosFaculty of Computing Engineering, Federal University of Pará campus Tucuruí (FECOMP-CAMTUC-UFPA), Pará, Brazil.ORCID 0000-0001-5094-1309
Adonney Allan de Oliveira VerasPostgraduate Program in Applied Computing, Federal University of Pará campus Tucuruí (CAMTUC-UFPA), Pará, Brazil.ORCID 0000-0002-7227-0590

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome annotation conceptually consists of inferring and assigning biological information to gene products. Over the years, numerous pipelines and computational tools have been developed aiming to automate this task and assist researchers in gaining knowledge about target genes of study. However, even with these technological advances, manual annotation or manual curation is necessary, where the information attributed to the gene products is verified and enriched. Despite being called the gold standard process for depositing data in a biological database, the task of manual curation requires significant time and effort from researchers who sometimes have to parse through numerous products in various public databases. To assist with this problem, we present CODON, a tool for manual curation of genomic data, capable of performing the prediction and annotation process. This software makes use of a finite state machine in the prediction process and automatically annotates products based on information obtained from the Uniprot database. CODON is equipped with a simple and intuitive graphic interface that assists on manual curation, enabling the user to decide about the analysis based on information as to identity, length of the alignment, and name of the organism in which the product obtained a match. Further, visual analysis of all matches found in the database is possible, impacting significantly in the curation task considering that the user has at his disposal all the information available for a given product. An analysis performed on eleven organisms was used to test the efficiency of this tool by comparing the results of prediction and annotation through CODON to ones from the NCBI and RAST platforms.

Indexed as

SoftwareBacteriaDatabases, GeneticGenomicsMolecular Sequence AnnotationUser-Computer Interface

Identifiers

PMID33788829
PMCPMC8011737

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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.