jSplice: a high-performance method for accurate prediction of alternative splicing events and its application to large-scale renal cancer transcriptome data

Yann Christinat, Rafal Pawlowski, Wilhelm Krek. jSplice: a high-performance method for accurate prediction of alternative splicing events and its application to large-scale renal cancer transcriptome data. Bioinformatics, 32(14):2111-2119, 2016. [doi]

@article{ChristinatPK16,
  title = {jSplice: a high-performance method for accurate prediction of alternative splicing events and its application to large-scale renal cancer transcriptome data},
  author = {Yann Christinat and Rafal Pawlowski and Wilhelm Krek},
  year = {2016},
  doi = {10.1093/bioinformatics/btw145},
  url = {http://dx.doi.org/10.1093/bioinformatics/btw145},
  researchr = {https://researchr.org/publication/ChristinatPK16},
  cites = {0},
  citedby = {0},
  journal = {Bioinformatics},
  volume = {32},
  number = {14},
  pages = {2111-2119},
}