Complexity and size of data have seen a exponential growth for any life science discipline, today’s research questions require interdisciplinary approaches and collaborations to translate them from data into information and on to knowledge.
The transition of data to knowledge requires a firm understanding of computational techniques and technology, allowing one to propose challenging hypothesis and engage the right tools to do the job.
The purpose of this lab is to give you are brief introduction on popular tools employed in bioinformatics analysis, with enough hands on experience with languages such as PERL and relevant modules (BioPERL) with a overview of data management techniques.
We also will cover emerging analysis techniques and resources that facilitate the scaling for analysis such as grid, cluster and cloud computing.
Please use the link on the left menu of this page to navigate the site. Students are encouraged to post comments, links of interest and questions to this site. I will address them in class and on this blog
Instructors for this session are:
- Nirav Merchant
- Susan Miller
- Patrick Degnan