Computational Molecular Biology
Peter Clote
Computational Molecular Biology - New York John Wiley & Sons 2000 - ix, 286 pages : illustrations ; 25 cm. - Wiley series in mathematical and computational biology. .
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.
0471872512
Bioinformatics. Genetics -- Mathematical models. Molecular biology -- Mathematical models.
572.8015118 CLO-C
Computational Molecular Biology - New York John Wiley & Sons 2000 - ix, 286 pages : illustrations ; 25 cm. - Wiley series in mathematical and computational biology. .
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.
0471872512
Bioinformatics. Genetics -- Mathematical models. Molecular biology -- Mathematical models.
572.8015118 CLO-C