A Practical Guide on Computational Tools and Databases for Transposable Elements in Plants

In the age of big data, obtaining precise information about the research topic of interesting is extremely important. Keeping this in mind, this chapter focuses on providing a practical knowledge guide about computational tools and databases of transposable elements (TE) in plants. For that, we orga...

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Published in:Methods in molecular biology (Clifton, N.J.) Vol. 2250; p. 31
Main Authors: Oliveira, Liliane Santana, de Amorim, Tharcísio Soares, Pedro, Daniel Longhi Fernandes, da Rocha Vicente, Fábio Fernandes, Paschoal, Alexandre Rossi
Format: Journal Article
Language:English
Published: United States 2021
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ISSN:1940-6029, 1940-6029
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Abstract In the age of big data, obtaining precise information about the research topic of interesting is extremely important. Keeping this in mind, this chapter focuses on providing a practical knowledge guide about computational tools and databases of transposable elements (TE) in plants. For that, we organize and present this text in three sections: (1) a discussion about tools and databases on this theme; (2) hands-on of how to use a few of them; (3) an exploratory data analysis on public TE data. Finally, we are going deep to present the main challenges and possible solutions to improve resources and tools.
AbstractList In the age of big data, obtaining precise information about the research topic of interesting is extremely important. Keeping this in mind, this chapter focuses on providing a practical knowledge guide about computational tools and databases of transposable elements (TE) in plants. For that, we organize and present this text in three sections: (1) a discussion about tools and databases on this theme; (2) hands-on of how to use a few of them; (3) an exploratory data analysis on public TE data. Finally, we are going deep to present the main challenges and possible solutions to improve resources and tools.
In the age of big data, obtaining precise information about the research topic of interesting is extremely important. Keeping this in mind, this chapter focuses on providing a practical knowledge guide about computational tools and databases of transposable elements (TE) in plants. For that, we organize and present this text in three sections: (1) a discussion about tools and databases on this theme; (2) hands-on of how to use a few of them; (3) an exploratory data analysis on public TE data. Finally, we are going deep to present the main challenges and possible solutions to improve resources and tools.In the age of big data, obtaining precise information about the research topic of interesting is extremely important. Keeping this in mind, this chapter focuses on providing a practical knowledge guide about computational tools and databases of transposable elements (TE) in plants. For that, we organize and present this text in three sections: (1) a discussion about tools and databases on this theme; (2) hands-on of how to use a few of them; (3) an exploratory data analysis on public TE data. Finally, we are going deep to present the main challenges and possible solutions to improve resources and tools.
Author de Amorim, Tharcísio Soares
da Rocha Vicente, Fábio Fernandes
Paschoal, Alexandre Rossi
Oliveira, Liliane Santana
Pedro, Daniel Longhi Fernandes
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  givenname: Liliane Santana
  surname: Oliveira
  fullname: Oliveira, Liliane Santana
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  organization: Department of Parasitology, Institute of Biomedical Sciences, Universidade de São Paulo, São Paulo, SP, Brazil. liliane.sntn@gmail.com
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  givenname: Tharcísio Soares
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  givenname: Daniel Longhi Fernandes
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  givenname: Fábio Fernandes
  surname: da Rocha Vicente
  fullname: da Rocha Vicente, Fábio Fernandes
  organization: Bioinformatics Graduation Program (PPGBIOINFO), Department of Computer Science, Federal University of Technology-Paraná (UTFPR), Cornélio Procópio, PR, Brazil
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  givenname: Alexandre Rossi
  surname: Paschoal
  fullname: Paschoal, Alexandre Rossi
  email: paschoal@utfpr.edu.br
  organization: Bioinformatics Graduation Program (PPGBIOINFO), Department of Computer Science, Federal University of Technology-Paraná (UTFPR), Cornélio Procópio, PR, Brazil. paschoal@utfpr.edu.br
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