Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/34329
Título: PipeMIRSEQ: pipeline integrativo para análises de expressão diferencial em dados de MIRNA-SEQ de plantas
Autores: Chalfun Júnior, Antonio
Gomes, Matheus de Souza
Chalfun Júnior, Antonio
Gomes, Matheus de Souza
Amaral, Laurence Rodrigues do
Palavras-chave: Bioinformática
MicroRNAs
Expressão gênica
Bioinformatics
Gene expression
Data do documento: 21-Mai-2019
Editor: Universidade Federal de Lavras
Citação: REZENDE, P. M. PipeMIRSEQ: pipeline integrativo para análises de expressão diferencial em dados de MIRNA-SEQ de plantas. 2019. 90 p. Dissertação (Mestrado em Biotecnologia Vegetal) – Universidade Federal de Lavras, Lavras, 2019.
Resumo: Computational techniques have been highly used in the recent years to mitigate biological issues. Currently, many studies of non-coding RNAs (ncRNAs) using bioinformatics have been presented. The miRNAs are one of the ncRNAs classes and the use of bioinformatics is crucial for a rapid, cost-effective and reliable solution for analysis of these molecules, for instance, prediction of the precursors, mature, and target sequences; and expression analysis. For expression analysis, the use of tool s, platforms, and pipelines has been essential to analyze large -scale miRNA-seq data. However, there are few aiming at the analysis of plant miRNAseq. The aim of this work was to develop a pipeli ne (pipeMIRSEQ) to assist in an efficient and reliable way to all the data analysis steps comprised within miRNAseq. The implementation was separated in modules: quality analysis, using four kinds of tools; mapping of the reads, comparing three different aligners; quantification, considering the homolog miRNA families; differential expression, using two packages for calculation; and, at last, a review step, aiming at synthesizing all the information from each step. To validate the pipeline a reduced miRNA-seq dataset from coffee (Coffea arabica L.) was used. It was possible to observe that the pipeMIRSEQ could analyze all the dataset, presenting results comparable to the literature, and, therefore, achieving its aims. At last, improvements for the pipeline regarding both computational and biological aspects are discussed.
URI: http://repositorio.ufla.br/jspui/handle/1/34329
Aparece nas coleções:Biotecnologia Vegetal - Mestrado (Dissertações)

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