A bioinformatic pipeline to identify biomarkers for metastasis formation from RNA sequencing data

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Item Type:	Article
Title:	A bioinformatic pipeline to identify biomarkers for metastasis formation from RNA sequencing data
Creators Name:	Dahlmann, M. and Stein, U.S.
Abstract:	Deep molecular characterization of tumors is a prerequisite for precision oncology and personalized anticancer treatment. Analyzing the tumor transcriptome by RNA sequencing (RNAseq) allows the quantification of individual isoforms and also the detection of sequence alteration in the expressed genes. This chapter describes an analysis pipeline that focuses both on accurate quantification of transcripts and on the occurrence of cancer-associated mutations. Another section introduces the analysis of differentially expressed genes for biomarker evaluation on the example of comparing metastasized versus non-metastasized colorectal tumors.
Keywords:	RNAseq, Bioinformatics, Expression Quantification, Mutation Analysis, Differential Expression
Source:	Methods in Molecular Biology
Series Name:	Methods in Molecular Biology
Title of Book:	Metastasis : methods and protocols
ISSN:	1064-3745
ISBN:	978-1-0716-1349-8
Publisher:	Springer / Humana Press
Volume:	2294
Page Range:	221-238
Date:	2021
Official Publication:	https://doi.org/10.1007/978-1-0716-1350-4_16
PubMed:	View item in PubMed
Related to:	URL URL Type https://edoc.mdc-berlin.de/20118/ Book

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