SCISSOR (shape changes in selecting sample outliers in RNA-seq) aims for unsupervised screening of a range of structural alterations in RNA-seq data. SCISSOR considers a novel shape property of aligned short read data through a base-level pileup file. This intact and uncompressed view of RNA-seq profile enables the unbiased discovery of structural alterations by looking for anomalous shapes in expression. This approach holds promise for identifying otherwise obscured genetic aberrations. As a result, SCISSOR identifies known as well as novel aberrations including abnormal splicing, intra-/intergenic deletions, small indels, alternative transcription start/termination.
Package details |
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Maintainer | Hyo Young Choi <lucienne1216@gmail.com> |
License | What license is it under? |
Version | 1.1.11 |
Package repository | View on GitHub |
Installation |
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