Computational Methods to Study Human Transcript Variants in COVID-19 Infected Lung Cancer Cells

Computational Methods to Study Human Transcript Variants in COVID-19 Infected Lung Cancer Cells

Microbes and viruses are known to alter host transcriptomes by means of infection. In light of recent challenges posed by the COVID-19 pandemic, a deeper understanding of the disease at the transcriptome level is needed. However, research about transcriptome reprogramming by post-transcriptional reg...

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Bibliographic Details
Main Authors: Jiao Sun, Naima Ahmed Fahmi, Heba Nassereddeen, Sze Cheng, Irene Martinez, Deliang Fan, Jeongsik Yong, Wei Zhang
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:International Journal of Molecular Sciences
Subjects:
COVID-19
transcript variants
alternative splicing
alternative polyadenylation
RNA-seq
3′-UTR
Online Access:https://www.mdpi.com/1422-0067/22/18/9684

Internet

https://www.mdpi.com/1422-0067/22/18/9684

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