Single Cell RNA Sequencing Analysis on Covid-19 Data (Record no. 16594)
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000 -LEADER | |
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fixed length control field | 01718nam a22001817a 4500 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 570.285 |
Item number | S617S |
100 ## - MAIN ENTRY--AUTHOR NAME | |
Personal name | Singh, Nishtha |
245 ## - TITLE STATEMENT | |
Title | Single Cell RNA Sequencing Analysis on Covid-19 Data |
Statement of responsibility, etc | by Nishtha Singh |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication | IIT Jodhpur |
Name of publisher | Department of Bioscience and Bioengineering |
Year of publication | 2023 |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | 34p. |
Other physical details | HB |
500 ## - GENERAL NOTE | |
General note | 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.<br/><br/>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 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Department of Bioscience and Bioengineering |
Topical Term | Single-cell RNA Sequencing (scRNA-seq) |
Topical Term | PBMCs (Peripheral Blood Mononuclear Cells) |
Topical Term | MTech Theses |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Yadav, Pankaj |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Thesis |
Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Permanent Location | Current Location | Shelving location | Date acquired | Source of acquisition | Full call number | Accession Number | Price effective from | Koha item type |
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Theses | S. R. Ranganathan Learning Hub | S. R. Ranganathan Learning Hub | Reference | 2024-04-01 | Office of Academics | 570.285 S617S | TM00530 | 2024-07-01 | Thesis |