Thesis Topic Details

Topic ID:
3475
Title:
Genome-wide chromatin landscape analysis of fungal epigenomes
Supervisor:
Joshua Ho
Research Area:
Bioinformatics, Genome informatics, Systems biology
Associated Staff
Assessor:
Bruno Gaeta
Topic Details
Status:
Active
Type:
Research
Programs:
CS CE BIOM BINF SE
Group Suitable:
No
Industrial:
Yes
Pre-requisites:
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Description:
Fungi have wide medical, agricultural and biotechnological relevance because of their abilities to cause diseases in humans and plants. Moreover, many fungi have long been used in the biotechnology (e.g., industrial enzyme productions) and food (e.g., wine, cheese, soy sauce fermentations) industries; and some fungi (e.g., mushrooms) are a valuable food source with high nutritional and medicinal values. To better understand fungal potentials and diseases, many representative fungal genomes have already been sequenced, and an on-going joint effort initiative aims to have 1000 fungal genomes sequenced over the next few years. Despite these efforts at the genomic level, information about the epigenomes for most fungal species is still largely uncharted. In collaboration with an international collaborator, we will study genome-wide chromatin landscape of several closely related medically, agriculturally and industrially important species by ChIP-seq. We will identify and systematically analyse the chromatin states in these species using advanced data mining and machine learning techniques and use these information to gain insight into different key physiologies of the species.
Comments:
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