Name
Abstract | ||
|---|---|---|
RNA-Seq analysis has revolutionized researchers’ understanding of the transcriptome in biological research. Assessing the differences in transcriptomic profiles between tissue samples or patient groups enables researchers to explore the underlying biological impact of transcription. RNA-Seq analysis requires multiple processing steps and huge computational capabilities. There are many well-develop... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCBB.2019.2956708 | IEEE/ACM Transactions on Computational Biology and Bioinformatics |
Keywords | DocType | Volume |
Bioinformatics,Genomics,Quality assessment,Pipelines,Electronic mail,RNA | Journal | 18 |
Issue | ISSN | Citations |
5 | 1545-5963 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kuan-Hao Chao | 1 | 0 | 0.34 |
| Yi-Wen Hsiao | 2 | 0 | 0.34 |
| Yi-Fang Lee | 3 | 1 | 0.69 |
| Chien-Yueh Lee | 4 | 11 | 2.04 |
| Liang-Chuan Lai | 5 | 4 | 4.52 |
| Mong-Hsun Tsai | 6 | 11 | 4.97 |
| Tzu-Pin Lu | 7 | 7 | 5.10 |
| Eric Y Chuang | 8 | 18 | 6.50 |