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SCANVIS: a tool for SCoring, ANnotating and VISualizing splice junctions.
Agius, Phaedra; Geiger, Heather; Robine, Nicolas.
Afiliación
  • Agius P; Computational Biology, New York Genome Center, New York, NY, USA.
  • Geiger H; Computational Biology, New York Genome Center, New York, NY, USA.
  • Robine N; Computational Biology, New York Genome Center, New York, NY, USA.
Bioinformatics ; 35(22): 4843-4845, 2019 11 01.
Article en En | MEDLINE | ID: mdl-31197308
ABSTRACT
MOTIVATION The association of splicing signatures with disease is a leading area of study for prognosis, diagnosis and therapy. We present a novel fast-performing annotation-dependent tool called SCANVIS for scoring and annotating splice junctions (SJs), with an efficient visualization tool that highlights SJ details such as frame-shifts and annotation support for individual samples or a sample cohort.

RESULTS:

Using publicly available samples, we show that the tissue specificity inherent in splicing signatures is maintained with the Relative Read Support scoring method in SCANVIS, and we showcase some visualizations to demonstrate the usefulness of incorporating annotation details into sashimi plots. AVAILABILITY AND IMPLEMENTATION https//github.com/nygenome/SCANVIS and https//bioconductor.org/packages/SCANVIS. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Empalme del ARN Tipo de estudio: Prognostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Empalme del ARN Tipo de estudio: Prognostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos