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| Content Provider | ACM Digital Library |
|---|---|
| Author | Ramaraj, Thiruvarangan Mudge, Joann Mumey, Brendan Cleary, Alan Kahanda, Indika |
| Abstract | We consider the problem of identifying regions within a pan-genome de Bruijn graph that are traversed by many sequence paths. We define such regions and the subpaths that traverse them as frequented regions (FRs). In this work we formalize the FR problem and describe an efficient algorithm for finding FRs. Subsequently, we propose some applications of FRs based on machine-learning and pan-genome graph simplification. We demonstrate the effectiveness of these applications using data sets for the organisms Staphylococcus aureus (bacteria) and Saccharomyces cerevisiae (yeast). We corroborate the biological relevance of FRs such as identifying introgressions in yeast that aid in alcohol tolerance, and show that FRs are useful for classification of yeast strains by industrial use and visualizing pan-genomic space. |
| Starting Page | 89 |
| Ending Page | 97 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781450347228 |
| DOI | 10.1145/3107411.3107427 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-08-20 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Visualization Classification Pan-genomics |
| Content Type | Text |
| Resource Type | Article |
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