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http://www.alice.cnptia.embrapa.br/alice/handle/doc/1121557
Título: | Coexpression and transcriptome analyses identify active apomixis-related genes in Paspalum notatum leaves. |
Autoria: | OLIVEIRA, F. A. de![]() ![]() VIGNA, B. B. Z. ![]() ![]() SILVA, C. C. da ![]() ![]() FAVERO, A. P. ![]() ![]() MATTA, F. de P. ![]() ![]() AZEVEDO, A. L. S. ![]() ![]() SOUZA, A. P. de ![]() ![]() |
Afiliação: | Fernanda A. de Oliveira, UNICAMP; BIANCA BACCILI ZANOTTO VIGNA, CPPSE; Carla C. da Silva, UNICAMP; ALESSANDRA PEREIRA FAVERO, CPPSE; FREDERICO DE PINA MATTA, CPPSE; ANA LUISA SOUSA AZEVEDO, CNPGL; Anete P. de Souza, UNICAMP. |
Ano de publicação: | 2020 |
Referência: | BMC Genomics, v. 21, n. 78, 2020. |
Páginas: | 15 p. |
Conteúdo: | RNA sequencing (RNA-seq) is the most effective method for simultaneously predicting new transcripts and identifying differentially expressed genes among distinct tissues, genotypes, abiotic conditions and developmental stages [1]. Conversely, considering the large amount of data generated from RNA-seq, new approaches that efficiently extract meaningful associations from highly multivariate datasets are needed [2]. Transcriptome coexpression studies can show how complex phenotypes depend on the activity of coordinated batteries of genes [3]. Therefore, the construction of coexpression networks based on gene expression data using correlation metrics provides valuable information regarding alterations in biological systems in response to differential gene expression patterns [2, 4]. |
NAL Thesaurus: | Apomixis Paspalum |
Palavras-chave: | Differential expression Gene coexpression network RNA sequencing |
Digital Object Identifier: | https://doi.org/10.1186/s12864-020-6518-z |
Tipo do material: | Artigo de periódico |
Acesso: | openAccess |
Aparece nas coleções: | Artigo em periódico indexado (CPPSE)![]() ![]() |
Arquivos associados a este item:
Arquivo | Descrição | Tamanho | Formato | |
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CoexpressionTranscriptomeAnalyses.pdf | 2.31 MB | Adobe PDF | ![]() Visualizar/Abrir |