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Long short-term memory network Branchpoint Retriever LaBranchoR

Online

Provides accurate genome-wide branchpoint annotations. LaBranchoR is a computational method that disregards noise in the experimental data leading to robust predictions. It helps in the identification of pathogenic genetic variants. This method offers in silico mutagenesis scores able to distinguish pathogenic variants from variants in the general population. This show that explicit branchpoint prediction provides information not captured by others generic splicing models.

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LaBranchoR versioning

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LaBranchoR classification

LaBranchoR specifications

Software type:
Application/Script
Restrictions to use:
None
Operating system:
Unix/Linux
Computer skills:
Advanced
Interface:
Command line interface
Output data:
FASTA
Programming languages:
Python
Stability:
Stable
Maintained:
Yes

LaBranchoR support

Maintainers

  • G. Bejerano <>
  • Joseph Paggi <>

Credits

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Publications

Institution(s)

Department of Computer Science, Stanford University, Stanford, CA, USA; Department of Developmental Biology, Stanford University, Stanford, CA, USA; Department of Pediatrics, Stanford University, Stanford, CA, USA

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