Transcriptome analysis using RNA-Seq fromexperiments with and without biological replicates: areview

• Autor(a) principal: MOLINARI, Mayla Daiane Correa
• Data de Publicação: 2021
• Outros Autores: FUGANTI-PAGLIARINI, Renata, MENDONÇA, Jéssika Angelotti, BARBOSA, Daniel de Amorim, MARIN, Daniel Rockenbach, MERTZ-HENNING, Liliane, NEPOMUCENO, Alexandre Lima
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UFRA
• Texto Completo: http://repositorio.ufra.edu.br/jspui/handle/123456789/1506
• topic: RNA-Seq; RNA - Sequenciamento; RNA - Moléculas; Ácidos nucléicos; Genoma; Genome

The discovery of nucleic acids opened new frontiers of knowledge, enablingresearchers to access an enormous amount of data, through large-scale sequencing methodologiesand bioinformatics tools. Amongst these new possibilities, RNA-Seq has been used to identify andquantify RNA molecules. To obtain more accurate biological responses from RNA-Seq data somequestions should be considered such as experimental design, type ofsynthesized library, size ofthefragments generated, number ofbiological replicates, depth, and coverage ofthe sequencing, speciesgenome availability and, the choice of software to properly perform the computational analyzes.Accurate bioinformatics analyzes allow the selection ofgenes with a lower error rate, increasing thevalidation assertiveness via RT-qPCR and thus, reducing costs. The objective of this review was topresent the analysis stages of RNA-Seq data, from experimental design to systems biology,considering relevant points, as well as to pointed out some software currently available to carry theseanalyzes out. Besides, with this review, we aimed to help the academic community to understand allsteps and biases involved in RNA-Seq data analysis, from experiments with or without biologicalreplicates.