SU Course : Comparative Genomics

The final course of the Stockholm University semester is on Comparative Genomics. The course is bioinformatics oriented and focuses on the use of computational tools and writing small scripts to perform computational analysis of genetic information available on various resources. The course is conducted by Erik Sonnhammer. The course has 2 components: 1) Theory classes … Continue reading “SU Course : Comparative Genomics”

SU Course: Applied Programming for Life Sciences II

The Stockholm University follows a pattern of single full time courses, as opposed to Karolinska and KTH. However, this course for our masters programme is an exception. The Applied Programming for Life Sciences is the continuation of python programming course from the Karolinska Institute. The course instructor Lars Arvestad conducts the classes distributed throughout the … Continue reading “SU Course: Applied Programming for Life Sciences II”

SU Course: Methods in Molecular Life Sciences Part – 3

2. Lab Practicals 2. Data analysis – Dry Lab The Data from Illumina sequencing was then transferred to the Uppmax server. Each of us made an Uppmax account and used to access this data on the server. In order to get an idea of the data analysis pipeline, on the first day of the exercise, … Continue reading “SU Course: Methods in Molecular Life Sciences Part – 3”

SU Course: Methods in Molecular Life Sciences Part – 2

Today I will talk about the wet lab aspect of the Practicals of the methods course. 2. Lab Practicals The main aim of the lab exercise was to generate mutant strains of the Saccharomyces cerevisiae and look for the mutations in genes involved in Lysine production  pathway using Illumina sequencing. 1. Experimentation and Data generation … Continue reading “SU Course: Methods in Molecular Life Sciences Part – 2”

SU Course: Methods in Molecular Life Sciences Part-1

The next course in the Masters is of Methods in Molecular Life Sciences. This course is also a two part course like the Bioinformatics course. The two parts are : 1. Theory lectures 2. Lab practicals 1. Experimentation and data generation – Wet lab 2. Data analysis – Dry lab 1. Theory lectures There are … Continue reading “SU Course: Methods in Molecular Life Sciences Part-1”