     
Partial customer list
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
» Download aiSee
|
 |

Home

About
» Features
» Screenshots
» Benefits
» Users
» Testimonials

Examples
Free trial
Support
Store
Legal
Contact
Extras
Sitemap
|