The emergence of high-throughput sequencing has brought substantial advances in cancer genomics research. The current pace of advance of this technology made possible to assay with high depth of coverage the DNA and the transcriptomes (RNA-seq) of tumor samples and cancer cell lines. Aberrant RNA processing of genes plays an important role in cancer.
The goal of this project is to develop a computational platform that enables the use of powerful computational resources for studies involving the analysis of high-throughput information from the transcriptome of cancer samples.
The platform hides the computational resources from the user making it easy to use by the Life Sciences experts.
Although the platform is general purpose, the current version is tuned for to the application of methods that use high-throughput information from the transcriptome of cancer samples to identify events of aberrant splicing and their impact in the transcript structure.
| Identifer | oai:union.ndltd.org:up.pt/oai:repositorio-aberto.up.pt:10216/76146 |
| Date | 06 August 2014 |
| Creators | Vítor Amálio Maia Martins Moreira |
| Contributors | Faculdade de Engenharia |
| Source Sets | Universidade do Porto |
| Language | English |
| Detected Language | English |
| Type | Dissertação |
| Format | application/pdf |
| Rights | openAccess, https://creativecommons.org/licenses/by-nc/4.0/ |
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