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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 222))

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Abstract

The quantity and quality of genome-wide association studies for several diseases are constantly increasing. As a consequence, molecular biologists from different laboratories demand new visualization tools for them to explore results by view and formulate new conjectures to work on. Although nowadays most studies are not able to reconstruct individual haplotypes, the next generation sequencying technologies will allow to obtain individual haplotypes in most studies conducted in the next few years. As evolutionary analysis of the haplotypes can be an invaluable information to biomedical researchers to build hypotheses of genetic variation by considering haplotype evolution, we have build a web-based tool for biomedical researchers to build and visualize risk haplotype trees along a chromosome so that they can perform a visual online exploration of the genetic factors associated with complex diseases.

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Correspondence to Dimitra Kamari .

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Kamari, D., Abad-Grau, M.M., Matesanz, F. (2013). HaptreeBuilder: Web Generation and Visualization of Risk Haplotype Trees. In: Mohamad, M., Nanni, L., Rocha, M., Fdez-Riverola, F. (eds) 7th International Conference on Practical Applications of Computational Biology & Bioinformatics. Advances in Intelligent Systems and Computing, vol 222. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00578-2_15

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  • DOI: https://doi.org/10.1007/978-3-319-00578-2_15

  • Publisher Name: Springer, Heidelberg

  • Print ISBN: 978-3-319-00577-5

  • Online ISBN: 978-3-319-00578-2

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