Literature DB >> 30281477

Differential Expression Analysis of RNA-seq Reads: Overview, Taxonomy, and Tools.

Hussain Ahmed Chowdhury, Dhruba Kumar Bhattacharyya, Jugal Kumar Kalita.   

Abstract

Analysis of RNA-sequence (RNA-seq) data is widely used in transcriptomic studies and it has many applications. We review RNA-seq data analysis from RNA-seq reads to the results of differential expression analysis. In addition, we perform a descriptive comparison of tools used in each step of RNA-seq data analysis along with a discussion of important characteristics of these tools. A taxonomy of tools is also provided. A discussion of issues in quality control and visualization of RNA-seq data is also included along with useful tools. Finally, we provide some guidelines for the RNA-seq data analyst, along with research issues and challenges which should be addressed.

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Year:  2018        PMID: 30281477     DOI: 10.1109/TCBB.2018.2873010

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  2 in total

1.  Transcriptome analyses reveal the expression profile of genes related to lignan biosynthesis in Anthriscus sylvestris L. Hoffm. Gen.

Authors:  Chunmiao Shan; Liqiang Zhao; Yuanyuan Shi; Shengxiang Zhang; Huan Wu; Mo Yang; Qingshan Yang; Jiawen Wu
Journal:  Physiol Mol Biol Plants       Date:  2022-03-13

2.  Transcriptome Revealed Exposure to the Environmental Ammonia Induced Oxidative Stress and Inflammatory Injury in Spleen of Fattening Pigs.

Authors:  Yongjie Chen; Runxiang Zhang; Susu Ding; Haoyang Nian; Xiangyin Zeng; Honggui Liu; Houjuan Xing; Jianhong Li; Jun Bao; Xiang Li
Journal:  Animals (Basel)       Date:  2022-05-07       Impact factor: 3.231

  2 in total

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