Pattern Discovery in Bioinformatics: Theory & Algorithms
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- 1584885491
- 572.80285 PAR-P
Contents:
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.
Item type | Current library | Home library | Call number | Status | Date due | Barcode | |
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Dept. of Computational Biology and Bioinformatics Processing Center | Dept. of Computational Biology and Bioinformatics | 572.80285 PAR-P (Browse shelf(Opens below)) | Available | DCB729 |
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572.80285 MUK-B Basic Applied Bioinformatics : A beginner's guide for students | 572.80285 NAR-B Bioinformatics : A Primer | 572.80285 NEA-P Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks | 572.80285 PAR-P Pattern Discovery in Bioinformatics: Theory & Algorithms | 572.80285 RAM-B Bioinformatics : An Introduction | 572.80285 RAM-B Bioinformatics : An Introduction | 572.80285 RAS-B Bioinformatics Methods And Applications : Genomics, Proeomics and Drug Discovery |
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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