About Bioinformatics


Bioinformatics aims to train scholars to work at the intersection of biology and computer science/statistics. We teach students to organize enormous sets of genomic and clinical data efficiently. Thus, they will be able to innovate tools that help interpret such data. Students’ combined fluency in the contemporary life sciences and computational and statistical tools enable them to cope with the quickly evolving landscape of high-throughput “omics” technologies and give them a unique interdisciplinary advantage in the job market.



Bioinformatics is a new, rapidly growing science that applies computer technology to acquire, store, analyze, and disseminate biological and clinical data. Bioinformatics integrates various areas of study, including computer sciences, molecular biology, biotechnology, and mathematics.

Bioinformatics is used by two necessary large-scale fields: genomics and proteomics. Genomics points to the sequencing and interpretation of all genomic entities, including genes and transcripts, in an organism. Proteomics refers to the analysis of the entire set of proteins or proteomes. Moreover, metabolomics and transcriptomics are other areas of biology where Bioinformatics is applied. Thus, Bioinformatics is the key to understanding complex biological systems.

The set of skills that Bioinformatics will acquire are the following:

  • Manipulate and analyze biological data.
  • Next-generation sequencing (NGS) biological data analysis.
  • Mechanistic and modular approaches, mathematical modeling, and graph classifying techniques for biological networks.
  • The most recent techniques used in computer-aided drug design.
  • Fundamental knowledge about different algorithms used in machine learning and statistical data analysis.
  • Fundamental data mining techniques and data mining algorithms.
  • High-performance computing of big data.
  • The possibility to simulate models of different nanostructures, nanostructured materials, and processes at the nano-level.

Careers that can be pursued:

- Definite career areas that fall within bioinformatics scope are database design & maintenance, proteomics, pharmacology, sequence assembly & analysis, informatics development, bio-analysis, etc.

  • Bioinformatics analyst
  • Computational biologist
  • Biomedical researcher
  • Biophysicist, biotechnologist
  • Biostatistician
  • Clinical lab tech
  • Epidemiologist Medical illustrator
  • Bioinformatics Software Developer
  • Omics Analyst