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ImproveAssembly - Tool for identifying new gene products and improving genome assembly.
Veras, Adonney Allan de Oliveira; Merlin, Bruno; de Sá, Pablo Henrique Caracciolo Gomes.
Affiliation
  • Veras AAO; Faculty of Computer Engineering, Federal University of Pará campus Tucuruí (CAMTUC-UFPA), Pará, Brazil.
  • Merlin B; Faculty of Computer Engineering, Federal University of Pará campus Tucuruí (CAMTUC-UFPA), Pará, Brazil.
  • de Sá PHCG; Federal Rural University of Amazonia campus Tomé-Açu (UFRA), Pará, Brazil.
PLoS One ; 13(10): e0206000, 2018.
Article in En | MEDLINE | ID: mdl-30365512
The availability of biological information in public databases has increased exponentially. To ensure the accuracy of this information, researchers have adopted several methods and refinements to avoid the dissemination of incorrect information; for example, several automated tools are available for annotation processes. However, manual curation ensures and enriches biological information. Additionally, the genomic finishing process is complex, resulting in increased deposition of drafts genomes. This introduces bias in other omics analyses because incomplete genomic content is used. This is also observed for complete genomes. For example, genomes generated by reference assembly may not include new products in the new sequence or errors or bias can occur during the assembly process. Thus, we developed ImproveAssembly, a tool capable of identifying new products missing from genomic sequences, which can be used for complete and draft genomes. The identified products can improve the annotation of complete genomes and drafts while significantly reducing the bias when the information is used in other omics analyses.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Genome / Sequence Analysis, DNA Type of study: Prognostic_studies Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2018 Document type: Article Affiliation country: Brazil Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Genome / Sequence Analysis, DNA Type of study: Prognostic_studies Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2018 Document type: Article Affiliation country: Brazil Country of publication: United States