Name
Title | ||
|---|---|---|
Construction Of Dna Methylation Analysis Platform Based On High-Throughput Sequencing |
Abstract | ||
|---|---|---|
As methylation research continues to heat up, the next generation sequencing(NGS) technology is used in DNA methylation research by many researchers. Reduce-drepresentation bisulfite sequencing(RRBS) is a high cost performance way to analyze the DNA methylation. In the paper, an analysis pipeline for NGS methylation data is designed and three solutions have been achieved. A RRBS data is used to test the three solutions, and all the three solutions can get the methylation information. But Solution One and Solution Two need the R package to analyze data, which is difficult to develop automated processes. To build an automated analysis process, only Solution Three is implemented. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/BIBM.2018.8621419 | PROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM) |
Keywords | Field | DocType |
DNA, methylation, RRBS, pipeline, epigenetic | Computer science,Bisulfite sequencing,Methylation,DNA,DNA methylation,Artificial intelligence,DNA sequencing,Computational biology,Machine learning,Epigenetics,R package | Conference |
ISSN | Citations | PageRank |
2156-1125 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiangyu Li | 1 | 2 | 2.13 |
| Jiakuan Li | 2 | 0 | 0.34 |
| Xiaolei Wang | 3 | 16 | 2.94 |
| Zhao Dongsheng | 4 | 0 | 6.42 |
| Siqing Zhao | 5 | 0 | 0.34 |