Literature DB >> 29767369

High Throughput Sequencing-Based Approaches for Gene Expression Analysis.

R Raja Sekhara Reddy1, M V Ramanujam2.   

Abstract

Next-generation sequencing has emerged as the method of choice to answer fundamental questions in biology. The massively parallel sequencing technology for RNA-Seq analysis enables better understanding of gene expression patterns in model and nonmodel organisms. Sequencing per se has reached the stage of commodity level while analyzing and interpreting huge amount of data has been a significant challenge. This chapter is aimed at discussing the complexities involved in sequencing and analysis, and tries to simplify sequencing based gene expression analysis. Biologists and experimental scientists were kept in mind while discussing the methods and analysis workflow.

Keywords:  Gene expression; NGS; RNA; RNAseq; Transcriptome

Mesh:

Year:  2018        PMID: 29767369     DOI: 10.1007/978-1-4939-7834-2_15

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  5 in total

1.  Identification of a Novel Four-Gene Signature Correlated With the Prognosis of Patients With Hepatocellular Carcinoma: A Comprehensive Analysis.

Authors:  Weihua Zhu; Lixin Ru; Zhenchao Ma
Journal:  Front Oncol       Date:  2021-03-12       Impact factor: 6.244

2.  Low expression of CHRDL1 and SPARCL1 predicts poor prognosis of lung adenocarcinoma based on comprehensive analysis and immunohistochemical validation.

Authors:  Huan Deng; Qingqing Hang; Dijian Shen; Yibi Zhang; Ming Chen
Journal:  Cancer Cell Int       Date:  2021-05-12       Impact factor: 5.722

3.  Identification of pivotal genes associated with the prognosis of gastric carcinoma through integrated analysis.

Authors:  Zhenchao Ma; Jianwei Xu; Lixin Ru; Weihua Zhu
Journal:  Biosci Rep       Date:  2021-04-30       Impact factor: 3.840

4.  Comprehensive Bioinformatics Analysis of mRNA Expression Profiles and Identification of a miRNA-mRNA Network Associated with the Pathogenesis of Low-Grade Gliomas.

Authors:  Ming Wang; Yan Cui; Yang Cai; Yugang Jiang; Yong Peng
Journal:  Cancer Manag Res       Date:  2021-06-29       Impact factor: 3.989

5.  Low Expression of ADCY4 Predicts Worse Survival of Lung Squamous Cell Carcinoma Based on Integrated Analysis and Immunohistochemical Verification.

Authors:  Zhicong Liu; Lixin Ru; Zhenchao Ma
Journal:  Front Oncol       Date:  2021-06-10       Impact factor: 6.244

  5 in total

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