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Visualization of high throughput biological data

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2012

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Kuljis, Jasna
Liu, Xiaohui

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http://nbn-resolving.de/urn:nbn:de:bsz:352-225247
DOI (zitierfähiger Link)
https://doi.org/10.2498/iti.2012.0480
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LUZAR-STIER, Vesna, ed., Iva JAREC, ed., Zoran BEKIC, ed.. Proceedings of the ITI 2012 : 34th International Conference on Information Technology Interfaces. Zagreb: University of Zagreb, 2012, pp. 163-168. ISBN 978-953-7138-24-0. Available under: doi: 10.2498/iti.2012.0480

Zusammenfassung

The rapid advances in high throughput biotechnology pose great challenges to the data analysis and visualization community. The sheer volume of data and complex biological problems that need to be answered increase the demand for effective data analysis and visualization tools which provide intuitive visual representation and allow full exploitation of the data. In this paper, we examine various visualization techniques that have been applied to high throughput biological data analysis. Several key problem areas as well as possible solutions are explored, and some challenging open issues are highlighted.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

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Konferenz

ITI, 25. Juni 2012 - 28. Juni 2012, Cavtat, Dubrovnik, Croatia
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ISO 690ZHANG, Leishi, Jasna KULJIS, Xiaohui LIU, 2012. Visualization of high throughput biological data. ITI. Cavtat, Dubrovnik, Croatia, 25. Juni 2012 - 28. Juni 2012. In: LUZAR-STIER, Vesna, ed., Iva JAREC, ed., Zoran BEKIC, ed.. Proceedings of the ITI 2012 : 34th International Conference on Information Technology Interfaces. Zagreb: University of Zagreb, 2012, pp. 163-168. ISBN 978-953-7138-24-0. Available under: doi: 10.2498/iti.2012.0480
BibTex
@inproceedings{Zhang2012Visua-22524,
  year={2012},
  doi={10.2498/iti.2012.0480},
  title={Visualization of high throughput biological data},
  isbn={978-953-7138-24-0},
  publisher={University of Zagreb},
  address={Zagreb},
  booktitle={Proceedings of the ITI 2012 : 34th International Conference on Information Technology Interfaces},
  pages={163--168},
  editor={Luzar-Stier, Vesna and Jarec, Iva and Bekic, Zoran},
  author={Zhang, Leishi and Kuljis, Jasna and Liu, Xiaohui}
}
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