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Bioinformatics (genomic) PhD Projects, Programmes & Scholarships

We have 43 Bioinformatics (genomic) PhD Projects, Programmes & Scholarships



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We have 43 Bioinformatics (genomic) PhD Projects, Programmes & Scholarships

A Bioinformatics PhD would provide you with the opportunity to work on an extended, in-detail project through the analysis of large sets of data. Bioinformatics programmes tend to be mostly ‘dry’ work with limited (if any) time in the laboratory conducting experiments. Since the focus is analysis of data, the choice of projects spans many subjects from analysing bacterial evolution, to modelling the spread of disease.

What’s it like to do a PhD in Bioinformatics?

As a Bioinformatics PhD student, you’ll work with the latest software and become proficient with programming in R, Python and MATLAB. You’ll also gain extensive experience with techniques from statistics and data science, all of which will allow you to analyse data effectively.

Some typical research topics in Bioinformatics include:

  • Genetic mapping
  • Population dynamics
  • Epidemiological modelling (modelling disease spread)
  • Improving diagnosis through the development of an algorithm
  • Using omic technology to study a disease state
  • Modelling and predicting evolution

Most Bioinformatics programmes advertised projects with full funding attached. These projects have a pre-determined aim, but you can alter the project along the way to suit your interests.

Compared to other Biology programmes, there is more opportunity of proposing a project, though this remains uncommon. While the majority are advertised projects, some doctoral training programmes offer bioinformatics projects in a given area and leave you to propose the specifics of the project.

In a normal day you’ll be writing programmes to identify new features in the data, analysing results using statistics and data science methods and discussing your project with your supervisor and colleagues.

At the end of the three or four years you’ll complete a thesis of around 60,000 words, which will contribute to your field and you’ll defend it during your viva exam.

Entry requirements

The entry requirements for most Bioinformatics PhD programmes involve a Masters in a related subject including Maths, Biological Science, Computer Science, or Software Engineering, with at least a Merit or Distinction. If English isn’t your first language, you’ll also need to show that you have the right level of language proficiency.

PhD in Bioinformatics funding options

The Research Council responsible for funding Bioinformatics PhDs in the UK is the Biotechnology and Biological Sciences Research Council (BBSRC). They provide fully-funded studentships including a stipend for living costs, a consumables budget for bench fees and a tuition fee waiver. Students don’t apply directly to the BBSRC, you apply for advertised projects with this funding attached.

It’s uncommon for Bioinformatics PhD students to be ‘self-funded’ due to the additional bench fees. However, if you were planning to fund yourself it might be achievable (depending on your project) through the UK government’s PhD loan and part-time work.

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Novel non-coding RNAs in regulating cancer epigenome

This opportunity will remain open until a suitable candidate has been found and so early applications are encouraged. Cancer-associated changes in gene expression and genome stability are often attributed to variations in DNA methylation. Read more

Investigating the cell biology of Neoparamoeba perurans, a causative agent of Amoebic Gill Disease, and its endosymbiont kinetoplastid, Perkinsela.

Amoebic gill disease (AGD), caused by the opportunistic amoebozoan parasite Neoparamoeba perurans, is a major disease in salmonid aquaculture [1-3] and there is an urgent need to mitigate the impact parasitic infections have on both fish welfare and sustainable growth in the sector. Read more

Investigating the role of the microenvironment in paediatric and adult acute myeloid leukaemia

The incidence of acute myeloid leukaemia (AML) increases with age, and in childhood accounts for 20% of all leukaemia. The current overall survival rate in children is only 60-70%, and thereafter falls progressively with age to 5-15% in the elderly. Read more

Using computational biology and transcriptional data to identify signaling that contributes to cancer progression

  Research Group: The Patrick G Johnston Centre for Cancer Research
Our group is looking to recruit a PhD candidate, with experience of working with molecular datasets, with an interest in performing translational bioinformatics analyses to understand the nuanced and complex interactions between cancer cells and their microenvironment for major emerging clinical tumour subtypes. . Read more

Genome mining of novel antimicrobial and antiviral natural products from new bacterial strains

Antimicrobial resistance (AMR) is rising to dangerously high levels in all parts of the world. In Europe alone, drug-resistant bacteria are estimated to cause 25,000 deaths annually and cost more than US$1.5 billion every year in healthcare expenses and productivity losses. Read more

Coordination between RNAPII transcription and DNA replication

RNA Pol II (RNAPII) transcription and DNA replication are the two essential-for-life processes that use as a substrate the DNA in our cells, allowing the¬¬m to express the content of their genetic information and to propagate these instructions to daughter cells. Read more

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