{"product_id":"computational-approaches-for-transcriptome-cancer-analysis-by-rna-seq-von-yuxiang-tan","title":"Computational Approaches for Transcriptome Cancer Analysis by RNA-Seq","description":"\u003cp\u003eRNA-Seq provides an ideal platform to study the complete set of transcripts for a specific developmental stage or physiological condition. It reveals not only expression-level changes, but also structural changes in the coding sequences, including gene rearrangements. In this dissertation, I present my contributions to the development of computational tools for the robust and efficient analysis of RNA-Seq data to support cancer research. To automate the laborious and computationally intensive procedure of RNA-Seq data management, I worked on the development of Hydra, an RNA-Seq pipeline for the parallel processing and quality control of large numbers of samples. I then present QueryFuse, a novel gene-specific fusion-detection algorithm for aligned RNA-Seq data. It is designed to help biologists find and\/or computationally validate fusions of interest quickly, and to annotate the detected events with visualization and detailed properties of the supporting reads. Finally, I contributed to the identification of a novel fusion event in lymphoma, with potential therapeutic implications in clinical samples. I validated this fusion in silico and by experimental validation.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783659870873\"\u003e\u003ch3\u003e\u003c\/h3\u003e\u003c\/div\u003e","brand":"Libri","offers":[{"title":"Softcover - 9783659870873","offer_id":39432162672733,"sku":"9783659870873","price":54.9,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/0bcafc2a-51aa-46f9-aa7c-a099914ecb2a.jpg?v=1756010491","url":"https:\/\/shop.autorenwelt.de\/en\/products\/computational-approaches-for-transcriptome-cancer-analysis-by-rna-seq-von-yuxiang-tan","provider":"Autorenwelt Shop","version":"1.0","type":"link"}