Long-read sequencing for transcriptome and epigenome analysis (Masters option available)

Long-read sequencing for transcriptome and epigenome analysis (Masters option available)

Project details

Long-read sequencing provides researchers with a powerful tool for studying genome architecture. This exciting project will explore a number of applications of long-read technology that include looking at splicing patterns in healthy and diseased cells, mapping repeats genome-wide and assessing methylation changes associated with X-inactivation. Data will be generated using Pacific Biosciences’ Sequel platform or Oxford Nanopore Technology’s MinION and PromethION devices. The project will involve data analysis using cutting edge methods and the development of new open-source software tailored to these applications that will be freely available to researchers worldwide.

We are looking for a student with a strong statistical or computational background (e.g. an undergraduate degree in statistics and mathematics), programming skills, an interest in biology and a desire to develop their skills in genomic data science.


About our research group

The Ritchie and Blewitt labs collaborate on the development of analysis methods tailored to new applications of genomic technology in biomedical research that includes:

  • Statistical methods for RNA-seq data analysis.
  • Analysis of high-throughput sequencing data from genetic screens.
  • Open-source software for genomic analysis distributed freely to researchers worldwide via the Bioconductor project.

The Ritchie lab and colleagues at AGRF have been successfully generating data on the MinION platform for the past 2 years. This project aims to build on this experience and explore emerging applications of this technology and PacBio sequencing, which is also available at the Institute.


Dr Matthew Ritchie

Dr Matthew Ritchie profile photo
Laboratory Head
Dr Charity Law working on a computer
Molecular Medicine division

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