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Computational Molecular Biology

By: Contributor(s): Material type: TextTextSeries: Wiley series in mathematical and computational biologyPublication details: New York John Wiley & Sons 2000Description: ix, 286 pages : illustrations ; 25 cmISBN:
  • 0471872512
Subject(s): DDC classification:
  • 572.8015118 CLO-C
Contents:
1. Molecular Biology. 1.1. Some Organic Chemistry. 1.2. Small Molecules. 1.3. Sugars. 1.4. Nucleic Acids. 1.5. Proteins. 1.6. From DNA to Proteins. 1.7. Exercises -- 2. Math Primer. 2.1. Probability. 2.2. Combinatorial Optimization. 2.3. Entropy and Applications to Molecular Biology. 2.4. Exercises. 2.5. Appendix: Modification of Bezout's Lemma -- 3. Sequence Alignment. 3.1. Motivating Example. 3.2. Scoring Matrices. 3.3. Global Pairwise Sequence Alignment. 3.4. Multiple Sequence Alignment. 3.5. Genomic Rearrangements. 3.6. Locating Cryptogenes and Guide RNA. 3.7. Expected Length of gRNA in Trypanosomes. 3.8. Exercises. 3.9. Appendix: Maximum-Likelihood Estimation for Pair Probabilities -- 4. All About Eve. 4.1. Introduction. 4.2. Rate of Evolutionary Change. 4.3. Clustering Methods. 4.4. Maximum Likelihood. 4.5. Quartet Puzzling. 4.6. Exercises -- 5. Hidden Markov Models. 5.1. Likelihood and Scoring a Model. 5.2. Re-estimation of Parameters. 5.3. Applications. 5.4. Exercises -- 6. Structure Prediction.
Summary: "Primarily aimed at advanced undergraduate and graduate students from bioinformatics, computer science, statistics, mathematics and the biological sciences, this text will also interest researchers from these fields."--Jacket.
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Holdings
Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 572.8015118 CLO-C (Browse shelf(Opens below)) Available DCB385

1. Molecular Biology. 1.1. Some Organic Chemistry. 1.2. Small Molecules. 1.3. Sugars. 1.4. Nucleic Acids. 1.5. Proteins. 1.6. From DNA to Proteins. 1.7. Exercises -- 2. Math Primer. 2.1. Probability. 2.2. Combinatorial Optimization. 2.3. Entropy and Applications to Molecular Biology. 2.4. Exercises. 2.5. Appendix: Modification of Bezout's Lemma -- 3. Sequence Alignment. 3.1. Motivating Example. 3.2. Scoring Matrices. 3.3. Global Pairwise Sequence Alignment. 3.4. Multiple Sequence Alignment. 3.5. Genomic Rearrangements. 3.6. Locating Cryptogenes and Guide RNA. 3.7. Expected Length of gRNA in Trypanosomes. 3.8. Exercises. 3.9. Appendix: Maximum-Likelihood Estimation for Pair Probabilities -- 4. All About Eve. 4.1. Introduction. 4.2. Rate of Evolutionary Change. 4.3. Clustering Methods. 4.4. Maximum Likelihood. 4.5. Quartet Puzzling. 4.6. Exercises -- 5. Hidden Markov Models. 5.1. Likelihood and Scoring a Model. 5.2. Re-estimation of Parameters. 5.3. Applications. 5.4. Exercises -- 6. Structure Prediction.

"Primarily aimed at advanced undergraduate and graduate students from bioinformatics, computer science, statistics, mathematics and the biological sciences, this text will also interest researchers from these fields."--Jacket.

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