TY  - BOOK
AU  - Singh, Nishtha 
AU  - Yadav, Pankaj 
TI  - Single Cell RNA Sequencing Analysis on Covid-19 Data
U1  - 570.285 
PY  - 2023///
CY  - IIT Jodhpur
PB  - Department of Bioscience and Bioengineering
KW  - Department of Bioscience and Bioengineering
KW  - Single-cell RNA Sequencing (scRNA-seq)
KW  - PBMCs (Peripheral Blood Mononuclear Cells)
KW  - MTech Theses
N1  - Single-cell RNA sequencing (scRNA-seq) is the sequencing of each cell's transcriptome to obtain gene expression patterns at a cellular resolution. Analysis of transcriptomes at the cellular level provides insights into the complex microenvironment of biological tissue. Unknown and rare cell types can be identified by scRNA-seq analysis. Single-cell RNA sequencing provides gene expression of each cell, which helps in differentiating between different cell types.

In this research work, the R software platform is used to analyze single-cell RNA sequencing dataset of COVID-19 with the help of certain software. Analysis provides information about the transcriptome. This research work focuses on analyzing single-cell RNA-seq data of PBMCs from COVID-19 patients on R platform. The dataset for the project work was taken from Gene Expression Omnibus - NCBI. The analysis includes several steps like pre-processing of the data, quality control, data correction, normalization, scaling, feature selection, dimensional reduction (PCA), clustering, marker identification, and cluster annotation
ER  -