Accessibility Skip to Global Navigation Skip to Local Navigation Skip to Content Skip to Search Skip to Site Map Menu

Epigenetics User Group (EUG) Hub

Mission Statement

The Epigenetics User Group (EUG) was founded in March 2017. Epigenetics is an important field of biomedical science and its application and use is rapidly increasing world-wide. The aim of EUG is to collectively address critical/technical problems, share resources, provide constructive peer review, provide academic consultancy in epigenetics and improve our collaborations. The group currently meets monthly and is actively expanding its membership. At the moment EUG has 30 members spanning 6 different departments within University of Otago in Dunedin and Christchurch.

EUG leader: Dr Aniruddha Chatterjee (aniruddha.chatterjee@otago.ac.nz)

Current EUG members

Join this group by signing up to the mailing list.

Fields of interest

Epigenetics methods and platforms

RRBS, WGBS and Bioinformatic/Statistical Analysis:

EWAS:

Targeted bisulphate sequencing:

ATAC-seq and ChIP-seq:

Chromatin interactions/4C-seq:

CRISPR methylation:

Emerging epigenetic technologies

This field is focused on the development of bioinformatic tools and statistical methods to accurately analyse large epigenomic datasets produced by genome-wide sequencing technologies.

Key contacts

Cancer epigenetics

This field is focused on documenting the epigenetic alterations (such as DNA methylation, miRNA, etc) that occur in cancer and the usefulness of epigenetic marks as predictors of cancer and cancer progression/metastasis. It also aims to determine the functional consequences of cancer-associated epigenetic changes in the laboratory.

Key contacts


Disease and population epigenetics

This field is focused on how epigenetic variants and environmental factors contribute to disease. Epigenetic association studies are being used to uncover relationships between phenotypes and epigenetic modifications such as DNA methylation.

Key contacts

Epigenetics of model organisms and toolsets

Model organisms: This field uses model organism to investigate the consequences that epigenetic alterations have on health and disease and also to understand the epigenetic mechanisms of trans-generational inheritance.

Toolsets: This field is focused on devising computational tools to support the processing, analysis and management of large-scale data sets generated from genome-wide sequencing methods.

Key contacts