The CeTICS sub-projects rely extensively on a huge amount of biological data that is produced by modern high-throughput omics (e.g., genomics, proteomics, transcriptomics) methods. Hence, there exist demands for biological data organization, retrieval, integration, and analysis to yield scientific knowledge. Bioinformatics is the scientific field that deals with the aforementioned demands, and includes methods to deal with problems that arise in the CeTICS sub-projects, such as: genome and transcriptome assembly, annotation and analysis; computational identification of proteins; taxonomic and phylogeny analysis; computational chemistry and molecular modeling.

On the other hand, the CeTICS sub-projects also rely on investigations that are intrinsically interdisciplinary, since they involve boundary crossing between disciplines such as Molecular Biology, Biochemistry, Mathematics, Statistics, and Computer Science. Those interdisciplinary investigations aim the development of mathematical models and the application of computational simulation techniques to study the behavior of biological systems (e.g., molecular signaling network kinetics), in the context of a scientific field called Computational Biology.

The Group of Computational Biology and Bioinformatics (GC2B) was created in late 2013, just after the CeTICS center itself was established. It has as general objective to develop and to execute scientific projects in Computational Biology and Bioinformatics. Additionally, GC2B has a more specific objective, which is to provide the required assistance to the other sub-projects of this center and, also to other laboratories of the Butantan Institute. To this end, some of the current projects that are carried out by GC2B include the development of the CeTICSdb platform for storage and analyses of heterogeneous omics data, and the SigNetSim framework for mathematical modeling and computational simulation of signaling network kinetics.