Semester.ly

Johns Hopkins University | EN.600.439

Computational Genomics

3.0

credits

Average Course Rating

(4.65)

Your genome is the blueprint for the molecules in your body. It's also a string of letters (A, C, G and T) about 3 billion letters long. How does this string give rise to you? Your heart, your brain, your health? This, broadly speaking, is what genomics research is about. This course will familiarize you with a breadth of topics from the field of computational genomics. The emphasis is on current research problems, real-world genomics data, and efficient software implementations for analyzing data. Topics will include: string matching, sequence alignment and indexing, assembly, and sequence models. Course will involve significant programming projects. [Applications]

Fall 2013

(4.73)

Fall 2014

(4.56)

Spring 2013

(4.67)

Fall 2013

Professor: Benjamin Langmead

(4.73)

The good aspects of this course included the interesting materials covered in class as well as the professor’s thorough and wel -organized method for teaching. Students thought that they learned about cutting-edge technologies and that the course covered an immense amount of information. The only real complaint that students had was that parts of the final project seemed a bit rushed and that some of the topics were not discussed in depth. Suggestions for improvement included adding in more practice coding and algorithm work and introducing the final project at an earlier date so that students can spend more time working on it. Students highly recommended this course to anyone interested in the field. Prospective students should have some Python knowledge and be prepared for an intensive but interesting course.

Fall 2014

Professor: Benjamin Langmead

(4.56)

Students thought the best aspects of this class were the engaging lectures and the homework assignments which were interesting but manageable. Students believed that the worst aspect of the course was the final project, which many students found overwhelming. Students felt the course could 97be improved with better guidance for the final project. Students thought it would be useful for people thinking about taking the class that experience with the Python programming language would be helpful but biological knowledge was not necessary for the class.

Spring 2013

Professor: Benjamin Langmead

(4.67)

The best aspects of this course included the guest lecturers, the opportunity to implement intriguing algorithms, and the instructor who was both informative and well-prepared. One student found the lectures difficult to attend. Another student would have liked help on the Rosalind problems. Suggestions included providing more exposure to research in the field, and holding class in a room with windows. Prospective students should know that it’s helpful to have a working knowledge of Python prior to taking the class, but it’s not mandatory.