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|a 572.80285 PAR-P
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|a Laxmi Parida
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| 245 |
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|a Pattern Discovery in Bioinformatics: Theory & Algorithms
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| 260 |
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|a Boca Raton
|b Chapman & Hall/CRC
|c 2008
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| 300 |
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|a 526 pages : illustrations.
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| 490 |
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|a Chapman and Hall/CRC mathematical & computational biology series.
|
| 505 |
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|a 1. Introduction -- I. The fundamentals -- 2. Basic algorithmics -- 3. Basic statistics -- 4. What are patterns? -- II. Patterns on linear strings -- 5. Modeling the stream of life -- 6. String pattern specifications -- 7. Algorithms & pattern statistics -- 8. Motif learning -- 9. The subtle motif -- III. Patterns on meta-data -- 10. Permutation patterns -- 11. Permutation pattern probabilities -- 12. Topological motifs -- 13. Set-theoretic algorithmic tools -- 14. Expression & partial order motifs.
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| 650 |
|
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|a Bioinformatics. Pattern recognition systems. Computational Biology --methods. Pattern Recognition, Automated.
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| 942 |
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