Name
Abstract | ||
|---|---|---|
Analysis of RNA-sequence (RNA-seq) data is widely used in transcriptomic studies and it has many applications. We review RNA-seq data analysis from RNA-seq reads to the results of differential expression analysis. In addition, we perform a descriptive comparison of tools used in each step of RNA-seq data analysis along with a discussion of important characteristics of these tools. A taxonomy of tools is also provided. A discussion of issues in quality control and visualization of RNA-seq data is also included along with useful tools. Finally, we provide some guidelines for the RNA-seq data analyst, along with research issues and challenges which should be addressed. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TCBB.2018.2873010 | IEEE/ACM transactions on computational biology and bioinformatics |
Keywords | DocType | Volume |
Tools,Data analysis,Bioinformatics,Quality control,RNA,Sequential analysis,Gene expression | Journal | 17 |
Issue | ISSN | Citations |
2 | 1545-5963 | 1 |
PageRank | References | Authors |
0.36 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hussain Ahmed Chowdhury | 1 | 1 | 0.70 |
| Dhruba Kumar Bhattacharyya | 2 | 50 | 6.95 |
| Jugal K. Kalita | 3 | 856 | 62.32 |