- Current number of academic staff: 52, with six in the Algorithms and Bioinformatics group, and numerous collaborators elsewhere in the College.
- Current number of research students: 4.
- Recent publications
- Population-based local search for protein folding simulation in the MJ energy model and cubic lattices;
- A fast and efficient algorithm for mapping short sequences to a reference genome;
- A hybrid approach to protein folding problem integrating constraint programming with local search;
- Module detection in complex networks using integer optimisation; Transcriptome map of mouse isochores.
- Current research projects:
- Biological network inference and classification;
- Genome sequence analysis and annotation;
- Normalisation algorithms for microarry data;
- Protein-protein interaction networks.
- Partner organisations:
- EBI (Cambridge),
- NIMR (London),
- UCL (London).
Graduates in the area of bioinformatics follow either an academic career path, working in institutes or universities, or an industrial career path, working in pharmaceutical companies or biotechnology start-ups.
Head of group/division
Head of Department: Professor Michael Luck; Head of Algorithms & Bioinformatics Group: Professor Costas Iliopoulos
PhD three years FT, six years PT.
Strand Campus, Guy's Campus.
Year of entry 2013
School of Natural and Mathematical Sciences
Department of Informatics
No deadline for applications. Students interested in applying to funding should be aware that deadlines for this differ, therefore applicants should view the Graduate Funding Pages at http://www.kcl.ac.uk/study/pg/funding/sources/index.aspx
for more information.
Approximately 3-5 per year.
Postgraduate Officer, Centre for Arts & Sciences Admissions (CASA)
tel: +44 (0) 20 7848 2555 / 7208
fax: +44 (0) 20 7847 7200
Bioinformatics is the application of computational methods in the representation and analysis of biological data. The availability of data from genome sequencing and high-throughput measurements in the human and other biological species has fuelled an explosive growth of bioinformatics during the past two decades. Research in bioinformatics has the potential to steer biological discovery in genomics, medical science and pharmaceutical applications.
The Bioinformatics research activity in the Department of Informatics aims to support existing demands and anticipate exciting new developments at the crossroads of computational and biomedical science. Research activities are centred on systems biology, functional genomics and string processing applications, such as protein folding, analysis of large and complex biological networks, machine learning for property prediction, data classification for molecular signature and biomarker discovery, algorithms for next generation sequencing applications, and micro RNA target prediction. Research is supported by extensive collaborations across medical and biomedical departments within King's as well as other national and international research groups in computational and experimental sciences.
Staff interests associated with the research programme and its research groups
Algorithms and Bioinformatics
Probabilistic algorithms; algorithm performance; graphs and networks; random walks; randomized algorithms; combinatorics.
Algorithm design; string algorithms.
Combinatorial optimisation; local search; stochastic algorithms; learning theory; structural proteonics.
020 7848 1590
020 7848 2851
String algorithms; text compression; pattern matching; algorithms for bioinformatics.
020 7848 2008
Computational genome analysis; genome data mining, network analysis and reconstruction; metabolic networks; protein interaction networks; evolution of genome properties and dynamics.
020 7848 1056
Algorithm design, network optimisation, algorithms for efficient wireless communication, data structures, design of distributed protocols for exploration of networks, implementation and experimental evaluation of algorithms.
020 7848 2588
020 7848 2851
ACADEMIC ENTRY REQUIREMENTS
General entry advice
Minimum 2:1 BSc honours degree (or equivalent) in computer science or a closely related subjects and a good background in the area of intended research.
APPLYING TO KING'S
To apply for graduate study at King's you will need to complete our graduate online application form. Applying online makes applying easier and quicker for you, and means we can receive your application faster and more securely.
King's does not normally accept paper copies of the graduate application form as applications must be made online. However, if you are unable to access the online graduate application form, please contact the relevant admissions/School Office at King's for advice.
You should complete the application form and send all appropriate documentation as listed in the requirements. Ideally, you should indicate the research group and, if possible, names of potential supervisors. Your application is evaluated by the relevant research group or individual academic. Applicants may be interviewed, by telephone for those not based in the UK. We aim to notify you of the result within six weeks of receipt of an application by the School.
September, January, and April start dates available. Applicants are strongly encouraged to start their degree at beginning of the academic year in September, when the College offers a full induction programme.
PERSONAL STATEMENT & SUPPORTING INFORMATION
Please give as much detail as you can on the nature of the research you wish to undertake.
Many of our students are self-funded or sponsored by their companies or countries. Some funding is available through the College, the EPSRC, the European Union and industrial sponsors.
I came to King’s because I was looking for a world-class supervisor and a London university where I could make progress but also enjoy myself.
King’s is a good place to undertake research because of the high-quality supervision and academic support, the environment and the facilities. I have been extremely happy here. Despite the competitive nature of the academia, I have found friends who are supportive of my success. I have had great relationships with both of my supervisors, made a lot of progress, published numerous scientific articles, and developed a huge range of skills such as teaching and presenting.
I have met some amazing people at King’s including academic staff, support staff and all of my co-students. King’s connected us together – it is a very friendly environment.
I have been a student representative for the last three years. I know first-hand how much the university cares about its students. I was involved in resolving many issues brought to my school’s attention. However minor the issues might have been, they have never been dismissed as unimportant.
After I complete my course, I would like to do postdoctoral training. All of the skills I have learned here plus my track record make me a top candidate for this.
King’s is an amazing place - I would not change a day I spent here. It’s prestigious yet friendly; the university genuinely cares about its students, and the location is the best. You are going to have the most amazing academic experience of your life!