Abstract
We describe an algorithm, ReAS, to recover ancestral sequences for transposable elements (TEs) from the unassembled reads of a whole genome shotgun. The main assumptions are that these TEs must exist at high copy numbers across the genome and must not be so old that they are no longer recognizable in comparison to their ancestral sequences. Tested on the japonica rice genome, ReAS was able to reconstruct all of the high copy sequences in the Repbase repository of known TEs, and increase the effectiveness of RepeatMasker in identifying TEs from genome sequences.
| Original language | English |
|---|---|
| Pages (from-to) | 313-321 |
| Number of pages | 9 |
| Journal | PLoS Computational Biology |
| Volume | 1 |
| Issue number | 4 |
| DOIs | |
| State | Published - 2005 |
| Externally published | Yes |