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DeepBound

DeepBound

DeepBound is a tool to identify splicing junctions and boundaries of expressed transcript read alignments in RNA-seq data. The DeepBound algorithm uses deep convolutional neural fields.

Topic

Machine learning; Transcription factors and regulatory sites; RNA-seq

Details

  • Operation: Prediction and recognition; Splicing model analysis
  • Software interface: Command-line user interface
  • Language: C++
  • Operating system: Linux; Mac OS X
  • License: Not stated
  • Cost: Free
  • Version name: 0.1
  • Credit: Gordon and Betty Moore Foundations Data-Driven Discovery Initiative, the US National Science Foundation, the US National Institutes of Health.
  • Contact: realbigws _at_ gmail.com | majianzhu _at_ gmail.com | shaomingfu _at_ gmail.com
  • Collection: -

Publications

Shao M, Ma J, Wang S "DeepBound: accurate identification of transcript boundaries via deep convolutional neural fields." Bioinformatics 2017; 33(14):i267-i273 https://doi.org/10.1093/bioinformatics/btx267
PMID: 28881999
PMCID: PMC5870651


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