14-15 December 2018
In recent developments in molecular biology, such as high throughput array technology or sequencing technology, are leading to an exponential increase in the volume of data that is being generated. Bioinformatics aims to get an insight into biological functioning and the organization of a living system riding on this data. The enormous data generated needs robust statistical handling, which in turn requires a sound computational statistics tool and environment. The open source software for Bioinformatics such as Galaxy, COPIA and EMBOSS etc though provides some amount of statistical help, these methods are not enough to address the evolving research questions in Bioinformatics. Therefore, this workshop aims to train the Bioinformatics Researchers in Statistical Methods using the open source software R and Python. R and Python provide just that kind of environment. It is a free tool with a large community and leverages the analysis of data via its huge package libraries that support various analysis operations.
Who can participate?
This course is tailored to medical, allied health professionals, nonmedical faculty, and researchers actively involved in Bioinformatics Research. Preference will be given to participants who have data and would like to analyze during the workshop.