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Translational Bioinformatics Applied to the Study of Complex Diseases
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Matheus Correia Casotti, Débora Dummer Meira, Lyvia Neves Rebello Alves, Barbara Gomes de Oliveira Bessa, Camilly Victória Campanharo, Creuza Rachel Vicente, Carla Carvalho Aguiar, Daniel de Almeida Duque, Débora Gonçalves Barbosa, Eldamária de Vargas Wolfgramm dos Santos, Fernanda Mariano Garcia, Flávia de Paula, Gabriel Mendonça Santana, Isabele Pagani Pavan, Luana Santos Louro, Raquel Furlani Rocon Braga, Raquel Silva dos Reis Trabach, Thomas Santos Louro, Elizeu Fagundes de Carvalho and Iúri Drumond Louro
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Abstract
Translational Bioinformatics (TBI) is defined as the union of translational medicine and bioinformatics. It emerges as a major advance in science and technology by covering everything, from the most basic database discoveries, to the development of algorithms for molecular and cellular analysis, as
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Translational Bioinformatics (TBI) is defined as the union of translational medicine and bioinformatics. It emerges as a major advance in science and technology by covering everything, from the most basic database discoveries, to the development of algorithms for molecular and cellular analysis, as well as their clinical applications. This technology makes it possible to access the knowledge of scientific evidence and apply it to clinical practice. This manuscript aims to highlight the role of TBI in the study of complex diseases, as well as its application to the understanding and treatment of cancer. An integrative literature review was carried out, obtaining articles through several websites, among them: PUBMED, Science Direct, NCBI-PMC, Scientific Electronic Library Online (SciELO), and Google Academic, published in English, Spanish, and Portuguese, indexed in the referred databases and answering the following guiding question: “How does TBI provide a scientific understanding of complex diseases?” An additional effort is aimed at the dissemination, inclusion, and perpetuation of TBI knowledge from the academic environment to society, helping the study, understanding, and elucidating of complex disease mechanics and their treatment.
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