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How does eukaryotic gene prediction work?

Nature Biotechnology volume 25, pages 883–885 (2007)Cite this article

Computational prediction of gene structure is crucial for interpreting genomic sequences. But how do the algorithms involved work and how accurate are they?

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Figure 1: Hidden Markov models form the basis for most gene-prediction algorithms.

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Acknowledgements

I wish to thank Jeltje van Baren and Tamara Doering for helpful comments and Laura Kyro for artwork. M.R.B. is supported in part by grants from the National Institutes of Health (HG002278, HG003700), the National Science Foundation (0501758) and Monsanto.

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  1. Michael Brent is at the Center for Genome Sciences, Campus Box 1045, Washington University, One Brookings Drive, Saint Louis, Missouri 63130, USA. brent@cse.wustl.edu,

    Michael R Brent

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Brent, M. How does eukaryotic gene prediction work?. Nat Biotechnol 25, 883–885 (2007). https://doi.org/10.1038/nbt0807-883

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