TRANSLATIONAL BIOMEDICAL INFORMATICS

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TRANSLATIONAL BIOMEDICAL INFORMATICS

Postby Jake11 » Dec 11 2017 8:39 am

The Department of Translational Genomics at USC at the Keck School of Medicine offers an intensive two-year program in Bioinformatics / Biomedical Computing. This program focuses on the education of people with solid experience in biomedical laboratories who are looking for large-scale data analysis, processing and management capabilities. Graduates are qualified to work as bioinformatics in academic research laboratories, clinical research laboratories, pharmaceutical companies and biotechnology companies.

The purpose of this program is to enable applied bioinformatics to provide students with training, skills and best practices to apply and integrate existing bioinformatics tools in human health and disease research.

This program is for people with experience in a biomedical laboratory and a degree in biomedicine or biomedical engineering. This program focuses on the application of tools and integration along the pipes, the script will focus on coding. Graduates have analytical skills in the analysis of data sets in molecular biology, systems biology, structural biology, and genome sequencing databases. The focus is on data analysis and data processing in the context of next generation sequence data (NGS), with the aim of creating core competencies that remain relevant as new technologies evolve and change . change.

This program uses traditional teaching in the classroom and the use of an in-silico laboratory for tasks combined with other online materials. After all, bioinformatics is about computers with a community that seeks help around the world. Within the program, each class varies.

Most of the courses alternate with the teachers' online interaction, followed by lectures and exercises in the classroom. The course is often designed to help students apply concepts available outside the classroom. Basically, it is an applied program that consists of learning independently and solving new problems as they arise. He teaches processes, although in reality he learns in a certain way. For example, several courses have a strong inclusion of R, R-Markdown and R-glossy, where students develop web applications to complete the task when sending GitHub. These applications may include biomedical research or a clinical problem commonly observed in the field. Learning time is often used to work with student teams on their solutions and suggest ways to overcome obstacles. In-person courses are often interactive, and students and conferences participate in ongoing dialogues where course materials were already available and reviewed before the course. Successful students use online resources and attendance schedules.
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