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miRTRAP, a computational method for the systematic identification of miRNAs from high throughput sequencing data

MicroRNAs (miRs) have been broadly implicated in animal development and disease. We developed a novel computational strategy for the systematic, whole-genome identification of miRs from high throughput sequencing information. This method, miRTRAP, incorporates the mechanisms of miR biogenesis and in...

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Detalles Bibliográficos
Autores principales: Hendrix, David, Levine, Michael, Shi, Weiyang
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2884542/
https://www.ncbi.nlm.nih.gov/pubmed/20370911
http://dx.doi.org/10.1186/gb-2010-11-4-r39
Descripción
Sumario:MicroRNAs (miRs) have been broadly implicated in animal development and disease. We developed a novel computational strategy for the systematic, whole-genome identification of miRs from high throughput sequencing information. This method, miRTRAP, incorporates the mechanisms of miR biogenesis and includes additional criteria regarding the prevalence and quality of small RNAs arising from the antisense strand and neighboring loci. This program was applied to the simple chordate Ciona intestinalis and identified nearly 400 putative miR loci.