Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
2818551 | Gene | 2010 | 4 Pages |
Abstract
As sequence data continues to be generated at a logarithmic rate our dependence on effective in silico gene prediction methods is also increasing. Herein, I review the current state of eukaryote gene prediction methods; their strengths, weaknesses and future directions.
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Genetics
Authors
Roy D. Sleator,