aiSee Users in the United Kingdom<>index

Partial customer list

  • Imperial College London
  • University of Bristol
  • University of Cambridge
  • University of East Anglia, Norwich
  • University of Edinburgh
  • University of Exeter
  • University of Glasgow
  • University of Liverpool
  • University of London
  • University of Luton
  • University of Oxford
  • University of Reading
  • University of Southampton
  • University of Sussex, Brighton
  • University of Ulster
  • University College London
  • European Bioinformatics Institute, Cambridge
  • Dunn Human Nutrition Unit, Cambridge
  • The Robert Gordon University, Aberdeen
  • Vosper-ManTech Ltd.

Example graphs and applications

Irish Wolfhound pedigree

GiGA: Biological interpretation of gene expression experiments

Signal transduction pathways

Graph-based iterative group analysis enhances microarray interpretation

Customer testimonials

''I have been using aiSee for several months and I am very happy with it. It has proven to be an easy way of displaying and manipulating graphs. I am involved in finding genes underlying genetic diseases in dogs, which may serve as models for human genetic diseases. In this context, aiSee has helped me a lot. It allows me to obtain the best layout for the complex pedigrees typical of highly inbred domestic animals. It also makes it possible to manipulate interactively the graph.'' 
Jesús Aguirre-Hernández, University of Cambridge

''I must say I'm really impressed by the level of professionalism displayed by your organisation. You have really been helpful in sorting out part of the difficult aspect of my project, and I'm indeed very grateful. I'm working on my Master's project and have found aiSee to be a very robust and useful tool to me. I would gladly acknowledge you in my dissertation for the invaluable help you've rendered.'' 
Olufemi Komolafe, Robert Gordon University, Aberdeen

''We chose the aiSee software for our graph layout, because it was very easy to learn and yet provided all the flexibility to produce very informative, data-rich graphs. The generated pictures provide a powerful tool to explore the large multidimensional datasets produced by modern post-genomic technologies, such as gene expression arrays or metabolomics. Our biologist customers just love it.'' 
Rainer Breitling, University of Glasgow

White papers

  • Graph-Based Iterative Group Analysis Enhances Microarray Interpretation (HTML | PDF, 303kB). By Rainer Breitling, Anna Amtmann and Pawel Herzyk, University of Glasgow.

  • See also: Microarray Experiments: New Statistical Tools Facilitate Biological Interpretation (Poster, PDF, 350kB).

  • On the Evolution of Hierarchical Levels of Organisation (PS, 280kB). By Chrisantha Fernando, University of Sussex, Brighton.

  • Hardware/Software Partitioning and Scheduling for Reconfigurable Systems (PDF, 2.7MB). Ph.D. thesis by Theerayod Wiangtong, University of London.

  • The Grammar Tool Box and the Parser Animation Tool (PDF, 110kB). By Adrian Johnstone, Elizabeth Scott and Giorgios Economopoulos, Royal Holloway, University of London.

  • Mining for Knowledge Chunks in a Terminology Network (PDF, 88kB). Presented by Fidelia Ibekwe-SanJuan (University of Lyon, France) and Eric SanJuan (University of Metz, France) at the 8th International ISKO Conference, University College London.

  • If you would like a paper of yours to be listed here, just let us know.

» World-wide customer list
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Last modified on 30 March 2006 by webmaster. © 2001-2006 AbsInt.
URL: http://www.aisee.com/users/uk.htm


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