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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
02/12/2010 |
Data da última atualização: |
15/01/2020 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
REIS, O.; COSTA, G. G. L.; HERAI, R. H.; CARAZZOLLE, M. F.; PEREIRA, G. A. G. |
Afiliação: |
LGE/UNICAMP; LGE/UNICAMP; LGE/UNICAMP, LBA/CNPTIA; LGE, CENAPAD/UNICAMP; LGE/UNICAMP. |
Título: |
RNA-seq: the need for biological replicates. |
Ano de publicação: |
2010 |
Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 6., 2010, Ouro Preto. Abstracts... [S.l.: s.n.], 2010. |
Páginas: |
p. 194. |
Idioma: |
Inglês |
Notas: |
AB3C X-meeting 2010. |
Conteúdo: |
RNA-seq provides a way to analyze entire transcriptomes with deep coverage and base level resolution and it is gradually replacing microarrays for gene expression analyses. In the past few years, many statistical methods have been developed to improve the detection of differentially expressed genes from RNA-seq. However the replacing of microarrays by RNA-seq has been often accompanied by decline in experimental design quality, as many groups working with RNA-seq are not using biological replicates. For any statistical inference it is necessary replication, for example, if you ?nd a couple of genes that are upregulated in the treatment in comparison to the value in control, without replication you can not know if that is effect of random variability or an actual effect of the treatment. Furthermore, without biological replicates it is too dif?cult to estimate the sample variation. The authors of EdgeR and DESeq propose a similar method to work without replicates. They propose an approach to infer an upper limit for the sample variance that uses both treatment and control as they were biological replicates. If it is expected that the most genes are not differently regulated, the calculated sample variance should be close to real sample variance. In this work, we evaluate the effect of working with and without biological replicates on the list of differentially expressed genes obtained. We show that the use of proper biological replicates is important to get good sensitivity to detect differentially expressed genes, showing that the replacement of microarrays by RNA-seq does not justify the use of an inferior experimental design. MenosRNA-seq provides a way to analyze entire transcriptomes with deep coverage and base level resolution and it is gradually replacing microarrays for gene expression analyses. In the past few years, many statistical methods have been developed to improve the detection of differentially expressed genes from RNA-seq. However the replacing of microarrays by RNA-seq has been often accompanied by decline in experimental design quality, as many groups working with RNA-seq are not using biological replicates. For any statistical inference it is necessary replication, for example, if you ?nd a couple of genes that are upregulated in the treatment in comparison to the value in control, without replication you can not know if that is effect of random variability or an actual effect of the treatment. Furthermore, without biological replicates it is too dif?cult to estimate the sample variation. The authors of EdgeR and DESeq propose a similar method to work without replicates. They propose an approach to infer an upper limit for the sample variance that uses both treatment and control as they were biological replicates. If it is expected that the most genes are not differently regulated, the calculated sample variance should be close to real sample variance. In this work, we evaluate the effect of working with and without biological replicates on the list of differentially expressed genes obtained. We show that the use of proper biological replicates is important to get good sensitivity t... Mostrar Tudo |
Palavras-Chave: |
Repetições biológicas; RNA sequences; Sequências de RNA. |
Thesaurus Nal: |
Sequence analysis. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02407nam a2200229 a 4500 001 1868535 005 2020-01-15 008 2010 bl uuuu u00u1 u #d 100 1 $aREIS, O. 245 $aRNA-seq$bthe need for biological replicates.$h[electronic resource] 260 $aIn: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 6., 2010, Ouro Preto. Abstracts... [S.l.: s.n.]$c2010 300 $ap. 194. 500 $aAB3C X-meeting 2010. 520 $aRNA-seq provides a way to analyze entire transcriptomes with deep coverage and base level resolution and it is gradually replacing microarrays for gene expression analyses. In the past few years, many statistical methods have been developed to improve the detection of differentially expressed genes from RNA-seq. However the replacing of microarrays by RNA-seq has been often accompanied by decline in experimental design quality, as many groups working with RNA-seq are not using biological replicates. For any statistical inference it is necessary replication, for example, if you ?nd a couple of genes that are upregulated in the treatment in comparison to the value in control, without replication you can not know if that is effect of random variability or an actual effect of the treatment. Furthermore, without biological replicates it is too dif?cult to estimate the sample variation. The authors of EdgeR and DESeq propose a similar method to work without replicates. They propose an approach to infer an upper limit for the sample variance that uses both treatment and control as they were biological replicates. If it is expected that the most genes are not differently regulated, the calculated sample variance should be close to real sample variance. In this work, we evaluate the effect of working with and without biological replicates on the list of differentially expressed genes obtained. We show that the use of proper biological replicates is important to get good sensitivity to detect differentially expressed genes, showing that the replacement of microarrays by RNA-seq does not justify the use of an inferior experimental design. 650 $aSequence analysis 653 $aRepetições biológicas 653 $aRNA sequences 653 $aSequências de RNA 700 1 $aCOSTA, G. G. L. 700 1 $aHERAI, R. H. 700 1 $aCARAZZOLLE, M. F. 700 1 $aPEREIRA, G. A. G.
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Embrapa Agricultura Digital (CNPTIA) |
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Registros recuperados : 6 | |
1. | | MARJOTTA-MAISTRO, M. C.; MONTEBELLO, A. E. S.; SANTOS, J. A.; PEDROSO, M. T. M. Principais regiões produtoras e de comercialização: o fluxo de abastecimento da mandioquinha-salsa. Revista Terceira Margem Amazônia, v. 8, n. 19, p. 241-251, 2023. O número se refere a edição dos anais do 59º Congresso da Sociedade Brasileira de Economia, Administração e Sociologia Rural (Sober) e 6º Encontro Brasileiro de Pesquisadores em Cooperativismo (EBPC), Manaus, 2022. Ações coletivas e...Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 4 |
Biblioteca(s): Embrapa Hortaliças. |
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4. | | MARJOTTA-MAISTRO, M. C.; MONTEBELLO, A. E. S.; SANTOS, J. A. dos; PEDROSO, M. T. M. Fluxo de abastecimento de alface e suas variedades: principais regiões de origem e destino. In: CONGRESSO DA SOCIEDADE BRASILEIRA DE ECONOMIA, ADMINISTRAÇÃO E SOCIOLOGIA RURAL, 59.; ENCONTRO BRASILEIRO DE PESQUISADORES EM COOPERATIVISMO, 6., 2021, Brasília, DF. Anais... Brasília, DF: UnB, 2021. Título em inglês: Lettuce supply flow and its varieties: main regions of origin and destination. Grupo de Trabalho (GT): 11 Abastecimento, segurança alimentar e nutricional e dinâmicas de consumo. Sober 2021, EBPC 2021. Evento online.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Hortaliças. |
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6. | | PEDROSO, M. T. M.; MONTEBELLO, A. E. S.; SANTOS, J. A. dos; MARJOTTA-MAISTRO, M. C. Rastreabilidade, hortaliças hidropônicas e informações: o que pensam os consumidores. In: CONGRESSO DA SOCIEDADE BRASILEIRA DE ECONOMIA, ADMINISTRAÇÃO E SOCIOLOGIA RURAL, 61., 2023, Piracicaba. Agropecuária do futuro: tecnologia, sustentabilidade e a segurança alimentar: anais. Piracicaba: ESALQ/USP, 2023. SOBER 2023.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Hortaliças. |
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