The Biology Dept. at UNC offers several advanced undergrad elective courses on computational genetics. So, as you progress in your biology major, make sure that you are meeting the prerequisites for these courses. I also recommend that you meet with the faculty members who teach these courses for their guidance in pursuing this aspect of genetics. While many schools now offer undergrad majors in bioinformatics or computational biology, UNC is not one of them. (UNC does offer a suggested track for mathematical biology within the math major, but this is a broader area than just the applications to genetics.) Here are the relevant courses to which I referred in my comments above:
525 Computational Analyses and Resources in Genomics (4). Prerequisites, BIOL 202, COMP 116, and STOR 155. Permission of the instructor for graduate students. Computational techniques for the analysis of large-scale genomics data. Databases and online genomic resources. Programming for standard file processing and development of analysis pipelines. Course includes a computational laboratory.
526 Computational Genetics (4). Pre- or corequisites, BIOL 202, COMP 116, and STOR 155. Permission of the instructor for students lacking the prerequisites. Graduate enrollment allowed with permission of the instructor. Introduction to computational principles underlying sequence alignment and phylogenetics, genome assembly and annotation, analysis of gene function, and other bioinformatics applications. Includes a one-hour computer laboratory.
527 Seminar in Quantitative Biology (3). Prerequisites, COMP 114, and MATH 232 or 283. Permission of the instructor for students lacking the prerequisites. Seminar in quantitative biology for advanced students. The course counts as a quantitative biology course for the major.
527L Laboratory in Quantitative Biology (1). Laboratory in quantitative biology for advanced students. The laboratory will involve mathematical analysis and modeling of biological systems and processes.
528 Systems Biology of Genetic Regulation (4). Prerequisites, BIOL 202, COMP 116, and MATH 232 or 283. The course will focus on mathematical and informatics approaches to modeling biological systems in particular gene networks. Students are expected to have some experience with programming.