Bioinformatics in cancer

Bioinformática en cáncer

Published 2026-02-17

Resumen gráfico Bioinformática en cáncer
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Rojas Ruco LT, Urrea-Orozco AF. Bioinformatics in cancer. Rev. colomb. hematol. oncol. [Internet]. 2026 Feb. 17 [cited 2026 Feb. 18];13(1-Supl):119-36. https://doi.org/10.51643/22562915.828

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Vol. 13 No. 1-Supl (2026): Biología molecular tumoral: de la básica a la clínica
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Rojas Ruco LT, Urrea-Orozco AF. Bioinformatics in cancer. Rev. colomb. hematol. oncol. [Internet]. 2026 Feb. 17 [cited 2026 Feb. 18];13(1-Supl):119-36. https://doi.org/10.51643/22562915.828
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https://doi.org/10.51643/22562915.828
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Leydi Tatiana Rojas Ruco
University of Valle image/svg+xml
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https://orcid.org/0009-0003-6347-959X
Andrés Felipe Urrea-Orozco
University of Valle image/svg+xml
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https://orcid.org/0009-0008-5756-6984
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Leydi Tatiana Rojas Ruco,

Integrante del Grupo de Investigación en Genética Molecular Humana del departamento de Biología de la Universidad del Valle, con énfasis en genómica y bioinformática aplicada al cáncer.

Andrés Felipe Urrea-Orozco,

Estudiante de Biología de la Universidad del Valle. Con investigación activa en el uso de herramientas de genética cuantitativa y aplicación de métodos estadísticos y computacionales al estudio de poblaciones.

Introduction: Bioinformatics in cancer has become a powerful tool for the detection and monitoring of molecular variants associated with the disease. Currently, large amounts of omics data are handled to develop and apply new tools that allow efficient data analysis. The aim of this review was to describe the context in which new bioinformatics technologies have emerged and how these advances are contributing to cancer research.

Methods: A search was conducted in PubMed, Scopus, Google Scholar, and ScienceDirect. Information was presented based on a set of articles available in English and Spanish related to data analysis (n=66). In addition, the main databases and bioinformatics platforms for cancer research are presented.

Results: The reviewed studies show that bioinformatics acts as an integrative axis in tumor biology research, facilitating the identification of biomarkers, molecular classification of tumors, and patient stratification, while advances in artificial intelligence are revolutionizing data analysis.

Discussion: Bioinformatics tools have enabled a deeper understanding of the molecular mechanisms of cancer, supporting the development of strategies with potential clinical application; likewise, this increase in information requires stricter quality control.

Conclusion: Bioinformatics is an expanding tool, necessary in cancer research, that can facilitate appropriate guidance in diagnosis and treatment, impacting the natural history of the disease.

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