Does your research involve identifying correlations between gene sequences and diseases, predicting protein structures from amino acid sequences, transcriptomics, metabolomics, or any of the many other ‘omics? If so, then you have a lot of data that requires analysis: a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision making.
The “four ‘C’s” is shorthand to describe broad categories of options for analyzing bioinformatics data, including paying someone else to do it (Core labs), working with another researcher (Collaboration), and doing it yourself either by learning to program (Coding) or using out-of-the-box software (Commercially-licensed tools). The University of Pittsburgh provides numerous options in these four categories to help you with your data analysis needs.