By Ion Mandoiu, Alexander Zelikovsky
Серьёзная книга о биоинформатических алгоритмах.
1 teaching Biologists within the twenty first Century: Bioinformatics Scientists as opposed to Bioinformatics Technicians
2 Dynamic Programming Algorithms for organic series and constitution Comparison
3 Graph Theoretical techniques to Delineate Dynamics of organic Processes
4 Advances in Hidden Markov types for series Annotation
5 Sorting- and FFT-Based suggestions within the Discovery of Biopatterns
6 A Survey of Seeding for series Alignmen
7 The comparability of Phylogenetic Networks: Algorithms and Complexity
8 Formal versions of Gene Clusters
9 Integer Linear Programming recommendations for locating Approximate Gene Clusters
10 Efﬁcient Combinatorial Algorithms for DNA series Processing
11 Algorithms for Multiplex PCR Primer Set choice with Ampliﬁcation size Constraints
12 fresh advancements in Alignment and Motif discovering for Sequences and Networks
13 Algorithms for Oligonucleotide Microarray Layout
14 Classiﬁcation Accuracy dependent Microarray lacking worth Imputation
15 Meta-Analysis of Microarray Data
16 Phasing Genotypes utilizing a Hidden Markov Model
17 Analytical and Algorithmic equipment for Haplotype Frequency Inference: What Do They inform Us?
18 Optimization tools for Genotype information research in Epidemiological Studies
19 Topological Indices in Combinatorial Chemistry
20 Efﬁcient Algorithms for Structural bear in mind in Databases
21 Computational ways to foretell Protein–Protein and Domain–Domain Interactions
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Additional resources for Bioinformatics Algorithms: Techniques and Applications
Atlas of Protein Sequence and Structure. Chapter 5, 1978. p345. 22. Delcher AL, Kasif S, Fleischman RD, Peterson J, White O, Salzberg SL. Alignment of whole genomes. Nucleic Acid Res 1999;27(11):2369–2376. 23. Do CB, Brudno M, Batzoglou S. ProbCons: probabilistic consistencybased multiple alignment of amino acid sequences. Genome Res 2005;15:330. 24. Dost B, Han B, Zhang S, Bafna V. Structural alignment of pseudoknotted RNA. p143. 25. Eddy SR. How do RNA folding algorithms work?. Nat Biotechnol 2004;22:1457.
RNAlign program: alignment of RNA sequences using both primary and secondary structures. Comput Appl Biosci 1994;10:389. 21. Dayhoff MA, Schwartz RM, Orcutt BC. A model of evolutionary change in proteins. Atlas of Protein Sequence and Structure. Chapter 5, 1978. p345. 22. Delcher AL, Kasif S, Fleischman RD, Peterson J, White O, Salzberg SL. Alignment of whole genomes. Nucleic Acid Res 1999;27(11):2369–2376. 23. Do CB, Brudno M, Batzoglou S. ProbCons: probabilistic consistencybased multiple alignment of amino acid sequences.
The definition of the stability criterion is phrased as a property of a graph closely related to the partition intersection graph and called a character overlap graph. A character overlap graph for a set of taxa is a graph G = (V, E), where V is a set of characters, and (u, v) ∈ E if there exists a taxon T in the set such that both u and v are present in T . ” To motivate the concept of stability, consider a set of characters A, B, C, D, and a set of four taxa described respectively by character pairs: (A, B), (B, C), (C, D), and (D, A).
Bioinformatics Algorithms: Techniques and Applications by Ion Mandoiu, Alexander Zelikovsky