ZOU Quan, LI Xu-bin, LIN Zi-yu, et al. Computational Identification of Alternative Splicing in Next-Generation Sequencing Data[J]. Acta Electronica Sinica, 2012, 40(2): 350-357.
ZOU Quan, LI Xu-bin, LIN Zi-yu, et al. Computational Identification of Alternative Splicing in Next-Generation Sequencing Data[J]. Acta Electronica Sinica, 2012, 40(2): 350-357. DOI: 10.3969/j.issn.0372-2112.2012.02.023.
Next-Generation Sequencing brought opportunities and challenges to the bioinformatics.As the importance of alternative splicing in gene expression and protein diversity in eukaryotes
alternative splicing identification has been the focus of bioinformatics research.The computation methods for alternative splicing need to be improved since the appearance of Next-Generation Sequencing.We introduce the past and current research of AS firstly;then conclude and compare the research methods
software and databases of AS based on RNA-seq data;finally try to discuss the development and prospect of the computational methods on AS.