Handbook of Computational Molecular BiologySrinivas Aluru CRC Press, 21 thg 12, 2005 - 1104 trang The enormous complexity of biological systems at the molecular level must be answered with powerful computational methods. Computational biology is a young field, but has seen rapid growth and advancement over the past few decades. Surveying the progress made in this multidisciplinary field, the Handbook of Computational Molecular Biology of |
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| 2-1 | |
Multiple Sequence Alignment | 3-1 |
Parametric Sequence Alignment | 4-1 |
String Data Structures | 4-33 |
Lookup Tables Suffix Trees and Suffix Arrays | 5-1 |
Suffix Tree Applications in Computational Biology | 6-1 |
Enhanced Suffix Arrays and Applications | 7-1 |
Genome Assembly and EST Clustering | 7-29 |
Largescale Phylogenetic Analysis | 21-1 |
HighPerformance Algorithms for Phylogeny Reconstruction with Maximum Parsimony | 22-1 |
Microarrays and Gene Expression Analysis | 22-21 |
Microarray Data Annotation Storage Retrieval and Communication | 23-1 |
Computational Methods for Microarray Design | 24-1 |
Clustering Algorithms for Gene Expression Analysis | 25-1 |
Biclustering Algorithms A Survey | 26-1 |
Identifying Gene Regulatory Networks from Gene Expression Data | 27-1 |
Computational Methods for Genome Assembly | 8-1 |
Assembling the Human Genome | 9-1 |
Comparative Methods for Sequence Assembly | 10-1 |
Information Theoretic Approach to Genome Reconstruction | 11-1 |
Expressed Sequence Tags Clustering and Applications | 12-1 |
Algorithms for LargeScale Clustering and Assembly of Biological Sequence Data | 13-1 |
GenomeScale Computational Methods | 13-31 |
Comparisons of Long Genomic Sequences Algorithms and Applications | 14-1 |
Chaining Algorithms and Applications in Comparative Genomics | 15-1 |
Computational Analysis of Alternative Splicing | 16-1 |
Human Genetic Linkage Analysis | 17-1 |
Haplotype Inference | 18-1 |
Phylogenetics | 18-27 |
An Overview of Phylogeny Reconstruction | 19-1 |
Consensus Trees and Supertrees | 19-41 |
Modeling and Analysis of Gene Networks Using Feedback Control Theory | 28-1 |
Computational Structural Biology | 28-33 |
Predicting Protein Secondary and Supersecondary Structure | 29-1 |
Protein Structure Prediction with Lattice Models | 30-1 |
Protein Structure Determination via NMR Spectral Data | 31-1 |
Geometric and Signal Processing of Reconstructed 3D Maps of Molecular Complexes | 32-1 |
In Search of Remote Homolog | 33-1 |
Biomolecular Modeling using Parallel Supercomputers | 34-1 |
Bioinformatic Databases and Data Mining | 34-45 |
String Search in External Memory Data Structures and Algorithms | 35-1 |
Index Structures for Approximate Matching in Sequence Databases | 36-1 |
Algorithms for Motif Search | 37-1 |
Data Mining in Computational Biology | 38-1 |
| 1 | |
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Thuật ngữ và cụm từ thông dụng
algorithm alleles alternative splicing amino acid analysis approach assembly bicluster Bioinformatics cDNA cell chain chemical shift chromosome clone clustering coiled coils construction contigs corresponding data structure database datasets denote DNA sequence edge ESTs evolutionary example exons Figure fragments function gene expression gene networks genetic genomic sequence genotypes global alignment graph haplotype heuristic homologous human genome identify inference input internal node introns isoforms lattice length linear linkage markers Markov matches matrix maximal maximum maximum parsimony microarray Molecular Biology mouse mRNA multiple alignment multiple sequence alignment NP-hard Nucleic Acids oligo optimal overlap pairs pairwise parameters parsimony phylogenetic phylogeny position probe problem protein sequence reconstruction regions Research residue sample Science score secondary structure solution space species stochastic string subset substring subtree suff suffix array suffix tree supertree methods tandem repeat techniques values vector
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