Software solutions

The CBF has software engineers are ready to help you get the most out of your research. Our engineers are fluent in multiple programming languages and up-to-date with cutting edge algorithmic and graphical techniques. Tempered by years of industry experience they work together as a professional team motivated to help you get the most from your experiments and to ensure your findings are accessible to the world.

We are also human – so come along and chat to Professor Andy Jones and his team about your work. Have a look to our examples:

Are you grappling with a complex workflow that would be better automated?

Dr Sara Silva Pereira commissioned CBF to create an efficient python pipeline of her genomic, transcriptomic and HMM methods used to produce Antigen Variant Profiles of Trypanosome spp. Multiple methods and species were combined into one python program and tool was published for the Galaxy. An application note is under review at Bioinformatics. You can access the software VAPPER here.

The transcriptomic Variant Antigen Profile of Trypanosoma congolense estimated as phylotype proportion adjusted for transcript abundance and the reference genomic Variant Antigen Profile. Data was produced with the ‘Variant Antigen Profiler’ (Silva Pereira and Jackson, 2018)

Would you like others to be able to use your methods in their analyses whilst retaining control of the method itself?

Dr Jenny Hodgson developed the high-impact research project condatis. A decision support tool to identify the best locations for habitat creation and restoration to enhance networks and increase connectivity across landscapes.

British Grasslands – 2km2 cells. Connectivity pathways from source (green) to target (red) Modelled in condatis v0.6

Would you like your datasets formalised into a database with always-available online access?

We helped create the Allele Frequency website that does just that. The Allele Frequency net database has >10000 unique users per year, from across disciplines including transplant immunology, vaccine development, pharmacogenetics, human genetics and anthropology and infectious diseases.

Or would you like a novel and interactive visualisation of your data?

For example Channel Bank  the online platform for testing and developing deep learning analysis of ion channels.