Analyzing single cell transcriptome data from severe COVID-19 patients

Analyzing single cell transcriptome data from severe COVID-19 patients

Summary: We describe the protocol for identifying COVID-19 severity specific cell types and their regulatory marker genes using single-cell transcriptomics data. We construct COVID-19 comorbid disease-associated gene list using multiple databases and literature resources. Next, we identify specific...

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Bibliographic Details
Main Authors: Nasna Nassir, Richa Tambi, Asma Bankapur, Noushad Karuvantevida, Hamdah Hassan Khansaheb, Binte Zehra, Ghausia Begum, Reem Abdel Hameid, Awab Ahmed, Zulfa Deesi, Abdulmajeed Alkhajeh, K.M.Furkan Uddin, Hosneara Akter, Seyed Ali Safizadeh Shabestari, Mellissa Gaudet, Mahmood Yaseen Hachim, Alawi Alsheikh-Ali, Bakhrom K. Berdiev, Saba Al Heialy, Mohammed Uddin
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:STAR Protocols
Subjects:
Bioinformatics
Health Sciences
Genomics
RNAseq
Immunology
Molecular Biology
Online Access:http://www.sciencedirect.com/science/article/pii/S2666166722002593

Internet

http://www.sciencedirect.com/science/article/pii/S2666166722002593

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