ANÁLISE TRANSCRIPTÔMICA EM EXPERIMENTOS DE RNA-SEQ COM E SEM REPLICATAS BIOLÓGICAS: UMA REVISÃO

The discovery of nucleic acids opened new frontiers of knowledge, enabling researchers to access an enormous amount of data, through large-scale sequencing methodologies and bioinformatics tools. Amongst these new possibilities, RNA-Seq has been used to identify and quantify RNA molecules. To obtain...

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Main Authors: Mayla Daiane Correa Molinari, Renata Fuganti-Pagliarini, Jéssika Angelotti Mendonça, Daniel de Amorim Barobosa, Daniel Rockenbach Marin, Liliane Mertz-Henning, Alexandre Lima Nepomuceno
Format: Article
Language:Portuguese
Published: Universidade Federal Rural da Amazônia (UFRA) 2021-01-01
Series:Revista de Ciências Agrárias
Subjects:
Online Access:https://periodicos.ufra.edu.br/index.php/ajaes/article/view/3319
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author Mayla Daiane Correa Molinari
Renata Fuganti-Pagliarini
Jéssika Angelotti Mendonça
Daniel de Amorim Barobosa
Daniel Rockenbach Marin
Liliane Mertz-Henning
Alexandre Lima Nepomuceno
author_facet Mayla Daiane Correa Molinari
Renata Fuganti-Pagliarini
Jéssika Angelotti Mendonça
Daniel de Amorim Barobosa
Daniel Rockenbach Marin
Liliane Mertz-Henning
Alexandre Lima Nepomuceno
author_sort Mayla Daiane Correa Molinari
collection DOAJ
description The discovery of nucleic acids opened new frontiers of knowledge, enabling researchers to access an enormous amount of data, through large-scale sequencing methodologies and bioinformatics tools. Amongst these new possibilities, RNA-Seq has been used to identify and quantify RNA molecules. To obtain more accurate biological responses from RNA-Seq data some questions should be considered such as experimental design, type of synthesized library, size of the fragments generated, number of biological replicates, depth, and coverage of the sequencing, species genome availability and, the choice of software to properly perform the computational analyzes. Accurate bioinformatics analyzes allow the selection of genes with a lower error rate, increasing the validation assertiveness via RT-qPCR and thus, reducing costs. The objective of this review was to present 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 these analyzes out. Besides, with this review, we aimed to help the academic community to understand all steps and biases involved in RNA-Seq data analysis, from experiments with or without biological replicates.
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spelling doaj.art-30883ba929e84c0f833e2b81bfa0378b2022-12-21T23:22:17ZporUniversidade Federal Rural da Amazônia (UFRA)Revista de Ciências Agrárias2177-87602177-87602021-01-0164ANÁLISE TRANSCRIPTÔMICA EM EXPERIMENTOS DE RNA-SEQ COM E SEM REPLICATAS BIOLÓGICAS: UMA REVISÃOMayla Daiane Correa Molinari0https://orcid.org/0000-0002-9135-0422Renata Fuganti-Pagliarini1https://orcid.org/0000-0001-9282-2826Jéssika Angelotti Mendonça2https://orcid.org/0000-0002-8147-5547Daniel de Amorim Barobosa3https://orcid.org/0000-0002-0071-1895Daniel Rockenbach Marin4https://orcid.org/0000-0002-4681-1832Liliane Mertz-Henning5https://orcid.org/0000-0001-7622-0649Alexandre Lima Nepomuceno6https://orcid.org/0000-0003-2012-6201EMBRAPA SOJA/UELEmbrapa SojaEmbrapa SojaEmbrapa SojaEmbrapa SojaEmbrapa SojaEmbrapa SojaThe discovery of nucleic acids opened new frontiers of knowledge, enabling researchers to access an enormous amount of data, through large-scale sequencing methodologies and bioinformatics tools. Amongst these new possibilities, RNA-Seq has been used to identify and quantify RNA molecules. To obtain more accurate biological responses from RNA-Seq data some questions should be considered such as experimental design, type of synthesized library, size of the fragments generated, number of biological replicates, depth, and coverage of the sequencing, species genome availability and, the choice of software to properly perform the computational analyzes. Accurate bioinformatics analyzes allow the selection of genes with a lower error rate, increasing the validation assertiveness via RT-qPCR and thus, reducing costs. The objective of this review was to present 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 these analyzes out. Besides, with this review, we aimed to help the academic community to understand all steps and biases involved in RNA-Seq data analysis, from experiments with or without biological replicates.https://periodicos.ufra.edu.br/index.php/ajaes/article/view/3319sequencingbioinformaticspipelinerna
spellingShingle Mayla Daiane Correa Molinari
Renata Fuganti-Pagliarini
Jéssika Angelotti Mendonça
Daniel de Amorim Barobosa
Daniel Rockenbach Marin
Liliane Mertz-Henning
Alexandre Lima Nepomuceno
ANÁLISE TRANSCRIPTÔMICA EM EXPERIMENTOS DE RNA-SEQ COM E SEM REPLICATAS BIOLÓGICAS: UMA REVISÃO
Revista de Ciências Agrárias
sequencing
bioinformatics
pipeline
rna
title ANÁLISE TRANSCRIPTÔMICA EM EXPERIMENTOS DE RNA-SEQ COM E SEM REPLICATAS BIOLÓGICAS: UMA REVISÃO
title_full ANÁLISE TRANSCRIPTÔMICA EM EXPERIMENTOS DE RNA-SEQ COM E SEM REPLICATAS BIOLÓGICAS: UMA REVISÃO
title_fullStr ANÁLISE TRANSCRIPTÔMICA EM EXPERIMENTOS DE RNA-SEQ COM E SEM REPLICATAS BIOLÓGICAS: UMA REVISÃO
title_full_unstemmed ANÁLISE TRANSCRIPTÔMICA EM EXPERIMENTOS DE RNA-SEQ COM E SEM REPLICATAS BIOLÓGICAS: UMA REVISÃO
title_short ANÁLISE TRANSCRIPTÔMICA EM EXPERIMENTOS DE RNA-SEQ COM E SEM REPLICATAS BIOLÓGICAS: UMA REVISÃO
title_sort analise transcriptomica em experimentos de rna seq com e sem replicatas biologicas uma revisao
topic sequencing
bioinformatics
pipeline
rna
url https://periodicos.ufra.edu.br/index.php/ajaes/article/view/3319
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