Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/76146
Author(s): Vítor Amálio Maia Martins Moreira
Title: A Computational Platform for Assessing the Impact of Alternative Splicing in Cancer
Issue Date: 2014-07-11
Description: 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.
Subject: Ciências da computação e da informação
Computer and information sciences
Scientific areas: Ciências exactas e naturais::Ciências da computação e da informação
Natural sciences::Computer and information sciences
TID identifier: 201322862
URI: https://repositorio-aberto.up.pt/handle/10216/76146
Document Type: Dissertação
Rights: openAccess
License: https://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:FEUP - Dissertação

Files in This Item:
File Description SizeFormat 
31600.pdfA Computational Platform for Assessing the Impact of Alternative Splicing in Cancer1.41 MBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons