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HU Credits:
2
Degree/Cycle:
2nd degree (Master)
Responsible Department:
Biotechnology
Semester:
2nd Semester
Teaching Languages:
Hebrew
Campus:
Rehovot
Course/Module Coordinator:
Dr. Ido Carmel
Coordinator Office Hours:
By Appointment
Teaching Staff:
Dr. Ido Carmel
Course/Module description:
A significant portion of the new technologies in experimental biology are "high-throughput" i.e. produce huge amount of raw data as an output. This data is further processed using diverse inventory of software to produce biological insights and a large part of the data is available online. The course introduce these technologies, software tools used for analyzing their results and relevant databases. The course combines frontal lectures and hands-on sessions .
Students will present their research questions and a discussion will be held regards the appropriate methods to address these questions.
Course/Module aims:
1.Introduction of the recent technologies for high-throughput experiments.
2.For each technology, introduction of software tools for data analysis, principles of analysis and relevant databases.
3.Introduction of the biological insights that are deduced from high-throughput experiments and their contribution to a comprehensive understanding of a biological system.
Learning outcomes - On successful completion of this module, students should be able to:
To list the key technologies for high-throughput experiments, their advantages and limitations, the principle methods of data analysis and the biological insights that are produced.
To choose the method/technology that best suited to answer a specific biological question and at the same time, adjust the biological question to match the limitations of the chosen method.
Attendance requirements(%):
100
Teaching arrangement and method of instruction:
Frontal Lectures and Practical Sessions
Course/Module Content:
• The Systems Biology Era
• Introduction to Genomics
• UCSC Genome Browser
• Introduction to Microarrays
• Next Generation Sequencing (NGS)
• The Galaxy suite of bioinformatics software
• SNP genotyping
• Introduction to Proteomics
• Introduction to Biological Networks
Required Reading:
To be announced
Additional Reading Material:
A primer to genome science/ Gibson & Muse Third Edition, (2009)
Introduction to Genomics/ Arthur Lesk
Course/Module evaluation:
End of year written/oral examination 0 %
Presentation 45 %
Participation in Tutorials 5 %
Project work 0 %
Assignments 50 %
Reports 0 %
Research project 0 %
Quizzes 0 %
Other 0 %
Additional information:
A previous study of “Introduction to bioinformatics” is recommended
Limited to 20 students
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