000			01718nam a22001817a 4500
082			_a570.285 _bS617S
100			_aSingh, Nishtha _945479
245			_aSingle Cell RNA Sequencing Analysis on Covid-19 Data _cby Nishtha Singh
260			_aIIT Jodhpur _bDepartment of Bioscience and Bioengineering _c2023
300			_a34p. _bHB
500			_aSingle-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.
650			_aDepartment of Bioscience and Bioengineering _945480
650			_aSingle-cell RNA Sequencing (scRNA-seq) _945481
650			_aPBMCs (Peripheral Blood Mononuclear Cells) _945482
650			_aMTech Theses _945483
700			_aYadav, Pankaj _945484
942			_cTH
999			_c16594 _d16594