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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
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Translational Bioinformatics Applied to the Study of Complex Diseases
Matheus Correia Casotti1, Débora Dummer Meira1, Lyvia Neves Rebello Alves1
1Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo, Vitória 29075-010, Espírito Santo, Brazil.
Genes
|February 25, 2023
Summary
Translational Bioinformatics (TBI) integrates medicine and data analysis to understand complex diseases like cancer. This field bridges scientific discovery and clinical practice for improved patient outcomes.
Area of Science:
- Bioinformatics
- Translational Medicine
- Computational Biology
Background:
- Translational Bioinformatics (TBI) merges translational medicine and bioinformatics.
- It encompasses database discoveries, algorithm development for molecular/cellular analysis, and clinical applications.
- TBI facilitates the application of scientific evidence to clinical practice.
Purpose of the Study:
- Highlight the role of TBI in studying complex diseases.
- Explore TBI's application in understanding and treating cancer.
- Address the dissemination of TBI knowledge to society.
Main Methods:
- Integrative literature review.
- Searched databases: PUBMED, Science Direct, NCBI-PMC, SciELO, Google Academic.
- Included articles in English, Spanish, and Portuguese.
Main Results:
- TBI provides a scientific understanding of complex diseases.
- It aids in elucidating complex disease mechanics and treatment strategies.
- TBI bridges the gap between basic research and clinical application.
Conclusions:
- TBI is crucial for advancing the study and treatment of complex diseases, particularly cancer.
- Effective dissemination of TBI knowledge is essential for societal benefit.
- TBI enhances the understanding and application of scientific evidence in healthcare.
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