05382nam 2200697Ia 450 991082365740332120240402140646.01-281-93473-99786611934736981-279-484-0(CKB)1000000000537795(EBL)1679392(OCoLC)879023575(SSID)ssj0000243610(PQKBManifestationID)11188245(PQKBTitleCode)TC0000243610(PQKBWorkID)10160303(PQKB)11205039(MiAaPQ)EBC1679392(WSP)00005489(Au-PeEL)EBL1679392(CaPaEBR)ebr10255845(CaONFJC)MIL193473(EXLCZ)99100000000053779520041008d2004 uy 0engur|n|---|||||txtccrSelected topics in post-genome knowledge discovery[electronic resource] /editor[s], Limsoon Wong, Louxin Zhang1st ed.Singapore Singapore University Press ;Singapore ;River Edge, NJ World Scientific Pub. Co.c20041 online resource (176 p.)Lecture notes series ;vol. 3Description based upon print version of record.981-238-780-3 Includes bibliographical references.Contents ; Foreword ; Preface ; Dynamic Programming Strategies for Analyzing Biomolecular Sequences ; 1. Introduction ; 2. Elementary Dynamic-Programming Algorithms ; 2.1. Fibonacci numbers ; 2.2. The maximum-sum substring problem ; 2.3. Longest increasing subsequence2.4. Longest common subsequence 3. Sequence Alignment ; 3.1. Global alignment ; 3.2. Local alignment ; 3.3. Affine gap penalties ; 3.4. Space-saving strategies ; 3.5. Multiple sequence alignment ; The Representation Comparison and Prediction of Protein Pathways ; 1. Introduction2. Online Pathway Resources 3. Pathway Representation ; 3.1. Pathway Space ; 3.2. SLIPR Format ; 4. Pathway Comparison ; 4.1. Comparing Individual Components ; 4.2. Aligning Two Pathways Using Dynamic Programming ; 4.3. Pathway Database Comparison4.4. One Implementation: PM_search Documentation 5. Orthologous Pathway Prediction ; 6. Discussion ; 6.1. Theoretical Issues on Evolutionary Study of Pathways ; 6.2. Establishing a Relational Pathway Database and its Web Interfaces ; 6.3. Pathway Prediction and BeyondGene Network Inference and Biopathway Modeling 1. Introduction ; 2. Gene Network Inference from Microarray Data ; 2.1. Boolean Network Model ; 2.2. Bayesian Network Model ; 3. Modeling and Simulation ; 3.1. Architecture for Biopathway Modeling ; 3.2. How to Model Biopathways3.3. Genomic Object Net and Biopathway Databases Towards Simulation The Institute for Mathematical Sciences at the National University of Singapore organized a program on "Post-Genome Knowledge Discovery" from January to June 2002. The program focused on the computational and statistical analysis of sequences and genetics, and the mathematical modeling of complex biological interactions, which are critical to the accurate annotation of genomic sequences, the study of the interplay between genes and proteins, and the study of the genetic variability of species. As part of the program, tutorials for graduate students and newcomers to this transdisciplinary areaLecture notes series (National University of Singapore. Institute for Mathematical Sciences) ;v. 3.GeneticsMathematicsGeneticsGeneticsMathematics.Genetics.572.8572.80285Wong Limsoon1965-1650161Zhang Louxin1690960MiAaPQMiAaPQMiAaPQBOOK9910823657403321Selected topics in post-genome knowledge discovery4067008UNINA