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| Status |
Public on Jun 12, 2017 |
| Title |
Low-cost, low-bias and low-input RNA-seq with High Experimental Verifiability based on Semiconductor Sequencing |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
|
| Summary |
We developed a new method on sequencing low-input RNA. This method shows much low-bias with the advantage of semiconductor while competing with smart-seq2. In order to analyze the low-input RNA datasets sensitively, we also develop FANSe2splice with high experimental verification rate as the analysis tool in our method.
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| Overall design |
The RNA of HBE and A549 were sequenced in our method. And smart-seq2 was also examined in HBE RNA.
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| Contributor(s) |
Mai Z |
| Citation(s) |
28432352 |
| |
| Submission date |
Oct 05, 2016 |
| Last update date |
May 15, 2019 |
| Contact name |
Gong Zhang |
| E-mail(s) |
zhanggong@jnu.edu.cn
|
| Organization name |
Jinan University
|
| Department |
Institute of Life and Health Engineering
|
| Lab |
Translatomics Lab
|
| Street address |
Huang-Pu Avenue West 601
|
| City |
Guangzhou |
| ZIP/Postal code |
510632 |
| Country |
China |
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| Platforms (2) |
| GPL17303 |
Ion Torrent Proton (Homo sapiens) |
| GPL20301 |
Illumina HiSeq 4000 (Homo sapiens) |
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| Samples (3) |
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| Relations |
| BioProject |
PRJNA345493 |
| SRA |
SRP090893 |
