Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Registro completo
Provedor de dados:  Genet. Mol. Biol.
País:  Brazil
Título:  Approaches for in silico finishing of microbial genome sequences
Autores:  Kremer,Frederico Schmitt
McBride,Alan John Alexander
Pinto,Luciano da Silva
Data:  2017-09-01
Ano:  2017
Palavras-chave:  Microbial genetics
Molecular microbiology
Genomics
Microbiology
Draft genomes
Resumo:  Abstract The introduction of next-generation sequencing (NGS) had a significant effect on the availability of genomic information, leading to an increase in the number of sequenced genomes from a large spectrum of organisms. Unfortunately, due to the limitations implied by the short-read sequencing platforms, most of these newly sequenced genomes remained as “drafts”, incomplete representations of the whole genetic content. The previous genome sequencing studies indicated that finishing a genome sequenced by NGS, even bacteria, may require additional sequencing to fill the gaps, making the entire process very expensive. As such, several in silico approaches have been developed to optimize the genome assemblies and facilitate the finishing process. The present review aims to explore some free (open source, in many cases) tools that are available to facilitate genome finishing.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Identificador:  http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572017000400553
Editor:  Sociedade Brasileira de Genética
Relação:  10.1590/1678-4685-gmb-2016-0230
Formato:  text/html
Fonte:  Genetics and Molecular Biology v.40 n.3 2017
Direitos:  info:eu-repo/semantics/openAccess
Fechar
 

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita

Embrapa
Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional