Computational Modelling Group

Tag based transcriptome analysis of gene expression in a promising green algae

Started
1st September 2011
Research Team
Andreas Johansson
Investigators
Richard Edwards

We use SuperSAGE in combination with next-generation sequencing to compare differences in gene expression between selected mutants and the wild type of a green algae. The data in the form of millions of 26 bp tags representing short stretches of expressed genes, will be analysed to find patterns of variation in gene expression under different conditions.

Categories

Life sciences simulation: Bioinformatics, NextGen Sequencing

Programming languages and libraries: Python, R

Computational platforms: Linux, Mac OS X, Windows

Transdisciplinary tags: IfLS, Quantitative Biology