The Bioinformatics and Computational Biology master’s program ... Career professionals are available to provide strategies for mastering job interviews, writing professional cover letters and resumes ...

With modern technology generating terabytes of biological data per day for medical, agricultural, and other biological fields, bioinformatics skills are in growing demand. The Bioinformatics Option ...

The MSc Bioinformatics covers a diverse range of areas in bioinformatics and is suitable for students from a variety of academic backgrounds related to the life sciences (biology, biochemistry, ...

The Master of Science in Bioinformatics and Computational Biology program brings together expertise from Saint Louis University in biology, chemistry, computer science, mathematics and statistics, ...

Bioinformatics Master's Program Plan of Study Classes required ... an enduring and productive career within the pharmaceutical and biotechnology industry. It covers all aspects of drug discovery and ...

It covers biological sequence analysis, gene prediction, genome annotation, gene expression analysis, protein structure prediction, evolutionary biology and comparative genomics, bioinformatics ...

This course is a high-content introduction to scripting and programming with applications in bioinformatics. It is appropriate for students with little previous programming experience. The course ...

The goal of our study was to perform a bioinformatics analysis of Photosystem I P700 chlorophyll a apoprotein A2, one of its photosynthesis-related proteins, and to hunt for potent bioactive peptides.

We require sufficient evidence of the relevant units taken. We may also consider exceptional applicants with a Lower Second who also have research experience or equivalent professional experience.

The study aims to drive earlier diagnosis of genetic diseases and early intervention to improve the health of the ...

The MSc Bioinformatics covers a diverse range of areas in bioinformatics and is suitable for students from a variety of academic backgrounds related to the Life Sciences (biology, biochemistry, ...

Lectures first introduce relevant data types and data handling skills. They subsequently cover the bioinformatics methods, algorithms and resources used for tasks such as read cleaning, genome ...