Systems Biology - Bioinformatic Data Analysis

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Bioinformatic Data Analysis

In the last two decades, biology has become a data-driven science. Just one example of the types of large datasets that have become an integral part of mainstream biology, are the DNA sequences generated by Next Generation Sequencing machines. Bioinformatics is an essential tool to interpret and understand these and other datasets, and extract relevant biological insights. Thus, bioinformatics is critical in all areas of biology, including the study of molecules (molecular biology), tissues (physiology), biological communities (ecology), and everything in between. Evolution leaves recognizable signals in all these biological systems, and these evolutionary signals provide bioinformatics with its great power to understand biology.

During this course, students will be introduced to several concepts and methods in the field of Bioinformatic Data Analysis. Our emphasis will be on studying the function and evolution of proteins and genomes. Students will learn the basics of important bioinformatic methods that will be used throughout their career, including: database searches, sequence alignments, phylogeny, and clustering. Moreover, students will perform a mini-project and write a mini-article to experience how bioinformatics is used in modern biological research.