Cargando…
A Model-Based Approach to Identify Binding Sites in CLIP-Seq Data
Cross-linking immunoprecipitation coupled with high-throughput sequencing (CLIP-Seq) has made it possible to identify the targeting sites of RNA-binding proteins in various cell culture systems and tissue types on a genome-wide scale. Here we present a novel model-based approach (MiClip) to identify...
Autores principales: | Wang, Tao, Chen, Beibei, Kim, MinSoo, Xie, Yang, Xiao, Guanghua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3979666/ https://www.ncbi.nlm.nih.gov/pubmed/24714572 http://dx.doi.org/10.1371/journal.pone.0093248 |
Ejemplares similares
-
dCLIP: a computational approach for comparative CLIP-seq analyses
por: Wang, Tao, et al.
Publicado: (2014) -
PIPE-CLIP: a comprehensive online tool for CLIP-seq data analysis
por: Chen, Beibei, et al.
Publicado: (2014) -
Large-Scale Profiling of RBP-circRNA Interactions from Public CLIP-Seq Datasets
por: Zhang, Minzhe, et al.
Publicado: (2020) -
A deep boosting based approach for capturing the sequence binding preferences of RNA-binding proteins from high-throughput CLIP-seq data
por: Li, Shuya, et al.
Publicado: (2017) -
Systemic CLIP-seq analysis and game theory approach to model microRNA mode of binding
por: Serra, Fabrizio, et al.
Publicado: (2021)