SpliceGrapher: detecting patterns of alternative splicing from RNA-Seq data in the context of gene models and EST data

We propose a method for predicting splice graphs that enhances curated gene models using evidence from RNA-Seq and EST alignments. Results obtained using RNA-Seq experiments in Arabidopsis thaliana show that predictions made by our SpliceGrapher method are more consistent with current gene models th...

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Detalles Bibliográficos
Autores principales: Rogers, Mark F, Thomas, Julie, Reddy, Anireddy SN, Ben-Hur, Asa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3334585/
https://www.ncbi.nlm.nih.gov/pubmed/22293517
http://dx.doi.org/10.1186/gb-2012-13-1-r4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3334585/
https://www.ncbi.nlm.nih.gov/pubmed/22293517
http://dx.doi.org/10.1186/gb-2012-13-1-r4

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