Abstract | ||
---|---|---|
Existing SAM visualization tools like 'samtools tview' ( Li et al., 2009) are limited to a small region of the genome, and tools like Tablet (Milne et al., 2010) are limited to a relatively small number of reads and may fail outright on large datasets. We need to visualize complex ChIP-Seq and RNA-Seq features such as polarity as well as coverage across whole 3 Gbp genomes such as Human. We have addressed these problems in a lightweight visualization system called SAMSCOPE accelerated by OpenGL. The extensive pre-processing and fast OpenGL interface of SAMSCOPE provides instantaneous and intuitive browsing of complex data at all levels of detail across multiple experiments. |
Year | DOI | Venue |
---|---|---|
2012 | 10.1093/bioinformatics/bts122 | BIOINFORMATICS |
Field | DocType | Volume |
Computer graphics (images),Source code,Visualization,Computer science,Complex data type,Software,Bioinformatics,Documentation,OpenGL,Binary number | Journal | 28 |
Issue | ISSN | Citations |
9 | 1367-4803 | 2 |
PageRank | References | Authors |
0.55 | 5 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kris Popendorf | 1 | 20 | 2.14 |
Yasubumi Sakakibara | 2 | 769 | 62.91 |