iREAD: a tool for intron retention detection from RNA-seq data
作者: Hong-Dong LiCory C. FunkNathan D. Price
作者单位: 1Center for Bioinformatics, School of Computer Science and Engineering, Central South University, 410083, Changsha, Hunan Province, People’s Republic of China
2Institute for Systems Biology, 98109, Seattle, WA, USA
刊名: BMC Genomics, 2020, Vol.21 (1), pp.1774-1786
来源数据库: Springer Nature Journal
DOI: 10.1186/s12864-020-6541-0
关键词: Intron retentionRNA-seqIREADGene expression
英文摘要: Abstract(#br)Background(#br)Intron retention (IR) has been traditionally overlooked as ‘noise’ and received negligible attention in the field of gene expression analysis. In recent years, IR has become an emerging field for interrogating transcriptomes because it has been recognized to carry out important biological functions such as gene expression regulation and it has been found to be associated with complex diseases such as cancers. However, methods for detecting IR today are limited. Thus, there is a need to develop novel methods to improve IR detection. Results(#br)Here we present iREAD (intron REtention Analysis and Detector), a tool to detect IR events genome-wide from high-throughput RNA-seq data. The command line interface for iREAD is implemented in Python. iREAD takes as input...
全文获取路径: Springer Nature  (合作)
影响因子:4.397 (2012)