ACDBio: The Biological Data Computational Analysis group at ICMC/USP, IFSP, and Barretos Cancer Hospital
DOI:
https://doi.org/10.5753/jidm.2024.2622Keywords:
Bioinformatics, Biological Data Analysis, Computer ScienceAbstract
Recent advances in biological and health technology have resulted in vast digital data. However, the major challenge is interpreting such data to find valuable knowledge. For this, using computing is essential and mandatory since quick data processing and analysis, allied with knowledge extraction techniques, enable working effectively with large biological datasets. In this context, the ACDBio group works with the computational analysis of biological data from different sources, aiming to find new information and knowledge in data or answer questions that are not yet known. So far, the group has worked on several challenging topics, such as identifying significant genes for cancer topological analysis of genes in interaction networks, among others. The group uses computational techniques such as complex networks and their algorithms, machine learning, and topological data analysis. This article aims to present the ACDBio group, and the main research topics worked on by its members. We also present the main results and future work expected by the group.
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