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ReAS: Recovery of ancestral sequences for transposable elements from the unassembled reads of a whole genome shotgun
Authors:Li Ruiqiang  Ye Jia  Li Songgang  Wang Jing  Han Yujun  Ye Chen  Wang Jian  Yang Huanming  Yu Jun  Wong Gane Ka-Shu  Wang Jun
Institution:James D. Watson Institute of Genome Sciences of Zhejiang University, Hangzhou, China.
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.
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