spliceR: an R package for classification of alternative splicing and prediction of coding potential from RNA-seq data
Research output: Contribution to journal › Journal article › Research › peer-review
Documents
- spliceR...
Final published version, 463 KB, PDF document
RNA-seq data is currently underutilized, in part because it is difficult to predict the functional impact of alternate transcription events. Recent software improvements in full-length transcript deconvolution prompted us to develop spliceR, an R package for classification of alternative splicing and prediction of coding potential.
Original language | English |
---|---|
Article number | 81 |
Journal | B M C Bioinformatics |
Volume | 15 |
Pages (from-to) | 1-7 |
Number of pages | 7 |
ISSN | 1471-2105 |
DOIs | |
Publication status | Published - 2014 |
Number of downloads are based on statistics from Google Scholar and www.ku.dk
No data available
ID: 107120926