Analysis and reporting of whole genome sequencing data from malaria parasites (Masters option available)

Analysis and reporting of whole genome sequencing data from malaria parasites (Masters option available)

Project details

This project will develop analytical and visual interfaces for the interpretation of data by non-bioinformaticians, using both historical data (several thousand samples available) and data to be collected from a newly funded malaria project. 

The aim is to monitor parasite features relevant to elimination of malaria, including drug resistance surveillance of known mutations and discovery of novel mutations using methods we recently developed (Henden et al, BioRxiv 2016) as well as investigating novel features of the data, such as microsatellite data. 

This project will involve substantial data analysis and programming: skills in R, C and Perl or Python will be required. Undergraduate experience in computer science with strong interests in data science, or in data science or statistics with a strong computational background and interests in visualisation of data is necessary.

About our research group

The Bahlo lab is a bioinformatics lab located in the Population Health and Immunity division, consisting of 12 staff and students, including two PhD students and one Masters student.

We have a strong interest in statistical and population genomics and transcriptomics with a concurrent interest in relevant statistical methods, working in close collaboration with a variety of genetic and clinical collaborators, both in malaria and neurological diseases. This project will be a close collaboration between the Bahlo and Barry lab (50% split), with further input from the Mueller and Jex labs, also in the same division. 

 

Researchers:

Professor Melanie Bahlo

Melanie Bahlo
Professor
Melanie
Bahlo
Joint Division Head

Project Type: