Published March 7, 2021
| Version v0.9
Dataset
Open
xPore: Detection of differential RNA modifications from direct RNA sequencing of human cell lines
Creators
- 1. Genome Institute of Singapore, A*STAR, Singapore; Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Thailand; Chula Intelligent and Complex Systems Research Unit, Chulalongkorn University, Thailand
- 2. Genome Institute of Singapore, A*STAR, Singapore
- 3. Genome Institute of Singapore, A*STAR, Singapore; Institute of Data Science, National University of Singapore, Singapore
- 4. Department of Hematology-Oncology, National University Cancer Institute of Singapore, National University Health System, Singapore
- 5. Department of Statistics and Applied Probability, National University of Singapore, Singapore
- 6. Genome Institute of Singapore, A*STAR, Singapore; Institute of Molecular Physiology, Shenzhen Bay Laboratory, Shenzhen, China
- 7. Genome Institute of Singapore, A*STAR, Singapore; National Cancer Center of Singapore, Singapore
Description
xPore is a Python package for identification and quantification of differential RNA modifications from direct RNA sequencing.
The detailed usage is documented at https://xpore.readthedocs.io/en/latest, while all scripts and source code are available at https://github.com/GoekeLab/xpore.
All the preprocessed datasets used in the paper are provided here.
Please cite our paper below when using these data.
Ploy N. Pratanwanich et al. "Detection of differential RNA modifications from direct RNA sequencing of human cell lines." bioRxiv (2020).
Files
Files
(45.8 GB)
Name | Size | Download all |
---|---|---|
md5:c8a9e531794d2836593115fd67d56c9b
|
866.2 MB | Download |
md5:82fd804e4fa9050a44a55d1700660b3e
|
1.9 GB | Download |
md5:bd19cf871e00360ca0c516a4ac9234e7
|
84.5 MB | Download |
md5:a5fda8d61a93df0a78c2db53308f426f
|
1.6 GB | Download |
md5:4614b4296bf9de1a291c39454525179e
|
1.4 GB | Download |
md5:cd75ada03ef93bb14eb0ff304849241f
|
2.3 GB | Download |
md5:73d4242d9e1bca8407c8bef200d37d34
|
1.2 GB | Download |
md5:6770962be11894c4bf129b8d1e00ce5b
|
1.1 GB | Download |
md5:87a4c06eae227909de0640e00a3297c8
|
1.4 GB | Download |
md5:e51625689c7bbdc61c38da42576a7c90
|
1.6 GB | Download |
md5:706f1f63bbd55e233e2a6957e0de557c
|
1.2 GB | Download |
md5:3150de1da9b36c8b6839192790a51287
|
818.8 MB | Download |
md5:922d6cf8f479a6e50e50ffd42ae4a79e
|
1.5 GB | Download |
md5:0d5937232b8d02839e6ca68759132877
|
1.8 GB | Download |
md5:b99923610d467fcd428b6088b7eb6f07
|
1.5 GB | Download |
md5:fef29d97998354eaeb15bad377745589
|
2.1 GB | Download |
md5:e715df4a1d68cb492855cfe574bf8940
|
1.1 GB | Download |
md5:dfae955a98ef83e0ae17abb7da19704d
|
1.4 GB | Download |
md5:1f2af04bc55913ef92c8aad5cbd3aa09
|
2.1 GB | Download |
md5:3f1f4709687b80946b8b05b1119c7dec
|
1.0 GB | Download |
md5:c0f06ae85c530344d7b23395290f34d7
|
1.2 GB | Download |
md5:cb0a1fd91144ec5e5512145a5a5f4630
|
1.7 GB | Download |
md5:151c6e63cf1f17a0fbd2cc80c1a28df6
|
676.6 MB | Download |
md5:6e99237f75f5fc398b43fffb31bbbe53
|
1.6 GB | Download |
md5:264cd02ae76821ee5cf89466c2872a38
|
2.0 GB | Download |
md5:a9df7d09af3f58144f5e53388913cd9a
|
1.8 GB | Download |
md5:c920d04be80e49839bd98b4bd546fe57
|
1.4 GB | Download |
md5:3b246f3acc83eb67a16d23c8de3cc2eb
|
1.1 GB | Download |
md5:1d77da75f1ef09feb979f0163b83bbd2
|
707.5 MB | Download |
md5:f1a1cc26eb820bd851b9d2198482e8c9
|
1.0 GB | Download |
md5:692b017c699f7e9ab939ddef8866cd3c
|
949.6 MB | Download |
md5:47bfee0b8283787057f8be2ef9c754a7
|
1.1 GB | Download |
md5:1c636ab66781782806698aabcc0169b5
|
1.2 GB | Download |
md5:1e25333d64606916b58c443db87442f5
|
1.5 GB | Download |
md5:e815db7954cdf89c95673b4df64d135b
|
18.2 kB | Download |
Additional details
References
- Ploy N. Pratanwanich et al. "Detection of differential RNA modifications from direct RNA sequencing of human cell lines." bioRxiv (2020).