Analysis of whole cancer genomes
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About this item
| Description: |
Campbell, P (Wellcome Trust Sanger Institute)
Wednesday 14 July 2010, 16:00-16:30 |
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| Created: | 2010-07-15 15:39 | ||||
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| Collection: | Statistical Challenges Arising from Genome Resequencing | ||||
| Publisher: | Isaac Newton Institute | ||||
| Copyright: | Campbell, P | ||||
| Language: | eng (English) | ||||
| Distribution: |
World
(downloadable)
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| Credits: |
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| Explicit content: | No | ||||
| Aspect Ratio: | 16:9 | ||||
| Screencast: | No | ||||
| Bumper: | UCS Default | ||||
| Trailer: | UCS Default | ||||
| Abstract: | Massively parallel sequencing technologies have revolutionized the field of cancer genomics. On a single platform, it is now possible to identify all somatically acquired mutations of all classes in a given cancer sample in real time. However, a number of challenges to interpreting the data exist, and necessitate the development of carefully tested bioinformatic algorithms. I will present an overview of our approaches for handling the data, focusing on the practical issues, common artefacts and challenges of current methodologies. |
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