Course Description

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Overview

This introductory-level workshop is designed for those interested in the fields of medicine, biology, and related fields with little or no experience in bioinformatics, who endeavor to apply bioinformatics skills in their research. Through active participation in this workshop, you will gain a comprehensive understanding of bioinformatics concepts, tools, and techniques, enabling you to effectively harness the vast amount of data generated by biomedical and evolutionary studies. Through hands-on applications of bioinformatics tools, you will be introduced to several important aspects of bioinformatics, such as biological database searching, sequence analysis, protein structure analysis, genome assembly and annotation, building phylogenetic trees, and understanding evolutionary analysis. 

By combining theoretical sections and practical examples you will gain experience in using various bioinformatics resources including software packages, tools, and algorithms. By successfully completing this workshop, you will be able to maximize the potential of bioinformatics tools in your endeavors in exploring genes, proteins, or genomes in your own analyses. Workshop participants may have the opportunity to suggest known genes, proteins, or viruses for analysis. Active participation by participants through hands-on application of the theoretical and practical examples is required for success.

Objective
At the end of the course a trainee should have an idea of the underlying algorithms, know the main steps and elements of several computational (bioinformatics) methods of sequence analysis, and feel comfortable in using online resources.

Who Should Attend
This basic course is designed for trainees and interested individuals in the fields of medicine, biology and related fields with little or no experience in bioinformatics.

Learner Outcomes

Key learning outcomes of this workshop include:

1. Describe the pivotal role of bioinformatics in the life science advanced research, with specific applications in participants’ projects

2.  Leverage diverse public data repositories to extract valuable insights, such as bibliographic data, sequencing data, protein structure information, and genome information.

3.  Perform sequence analysis and comparison with popular software tools
4. Compare and decide when and how to utilize various applications of genome information across different domains
5. Identify current genome sequencing, assembly, and annotation methods
6. Describe the challenges associated with managing and analyzing big data 
7. Build phylogenetic trees using popular software tools and explain the key concepts of evolutionary analysis