Laxmi Parida <br/><br/>
Pattern Discovery in Bioinformatics: Theory & Algorithms 

 - 	Boca Raton  Chapman & Hall/CRC  2008 
 - 	526 pages : illustrations. 
 - Chapman and Hall/CRC mathematical & computational biology series. .
<br/><br/>	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. 
<br/><br/><label>ISBN: </label>1584885491 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Bioinformatics. Pattern recognition systems. Computational Biology --methods. Pattern Recognition, Automated.
<br/><br/><label>Dewey Class. No.: </label>572.80285 PAR-P