Session: Analysis and Interpretation of Genomic Data using (mostly) Python


With advances in Biology and increasing computational power, sequencing of human genome is now getting cheaper. This also leads to complex questions which needs to be answered by the scientists when they are presented with a raw human genome data- what information needs to be interpreted, what softwares need to be used, what is the workflow to be followed for the analysis and how can the analysis help the scientists make inferences on the specific organism?

The whole analysis of the genome will be done using many of the Python packages like BioPython and Galaxy.The analysis will also include certain non-Python softwares like Trimmomatic and FastQC.