Detection of splicing events and multiread locations from RNA-seq data based on a geometric-tail (GT) distribution of intron length
Publication in refereed journal


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其它資訊
摘要Background: RNA sequencing (RNA-seq) measures gene expression levels and permits splicing analysis. Many existing aligners are capable of mapping millions of sequencing reads onto a reference genome. For reads that can be mapped to multiple positions along the reference genome (multireads), these aligners may either randomly assign them to a location, or discard them altogether. Either way could bias downstream analyses. Meanwhile, challenges remain in the alignment of reads spanning across splice junctions. Existing splicing-aware aligners that rely on the read-count method in identifying junction sites are inevitably affected by sequencing depths.
著者Lou SK, Li JW, Qin H, Yim AKY, Lo LY, Ni B, Leung KS, Tsui SKW, Chan TF
會議名稱IEEE International Conference on Bioinformatics and Biomedicine
會議開始日18.12.2010
會議完結日21.12.2010
會議地點Hong Kong
期刊名稱BMC Bioinformatics
出版年份2011
月份7
日期27
卷號12
出版社BIOMED CENTRAL LTD
國際標準期刊號1471-2105
語言英式英語
Web of Science 學科類別Biochemical Research Methods; BIOCHEMICAL RESEARCH METHODS; Biochemistry & Molecular Biology; Biotechnology & Applied Microbiology; BIOTECHNOLOGY & APPLIED MICROBIOLOGY; Mathematical & Computational Biology; MATHEMATICAL & COMPUTATIONAL BIOLOGY

上次更新時間 2020-20-11 於 00:35