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Computational Biology: New Research
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Editors: Alona S. Russe
Book Description:
Computational biology involves the use of techniques including applied mathematics, informatics, statistics, computer science, artificial intelligence, chemistry, and biochemistry to solve biological problems usually on the molecular level. The core principle of these techniques is using computing resources in order to solve problems on scales of magnitude far too great for human discernment. Research in computational biology often overlaps with systems biology. Major research efforts in the field include sequence alignment, gene finding, genome assembly, protein structure alignment, protein structure prediction, prediction of gene expression and protein-protein interactions, and the modeling of evolution.

Table of Contents:
Preface

Expert Commentary

Expressed Sequence Tags in cancer genomics
(Vincent Navratil, INRA,Universite de Lyon 1, Ecole Nationale Veterinaire de Lyons,France,Abdel Aouacheria,Apoptosis and Oncogenesis laboratory,IBCP-institut de Biologie et Chimie des Proteines,Universite Claude Bernard Lyon,France) (pp. 1-8)

Short Commentions

A. Protein bioinformatics for drug discovery concavity drug ability and antibody drug ability
(Hiroki Shirai,Advanced Genomics,Molecular Medicine Research Laboratories, Astellas Pharm Inc,Japan, Kenji Mizuguchi,national Institute of biomedical Innovation,Osaka,Japan,Daisuke Kuroda,Institute for Protein research,Osaka University) (pp. 11-18)

B. A linkage disequilibrium based statistical approach to discovering interactions among SNP alleles at multiple loci contributing to human skin pigmentation variation
(Sumiko Anno, School of engineering,Shibaura Institute of technology,Takashi Abe,School of bio sciences,Nagahama Institute of Bio Science and technology) (pp. 19-27)

C. Sufficient conditions for exact penalty in constrained optimization on complete metric spaces
(Alexander J. Zaslavski,Department of Mathematics,The Technion isreal institute of technology,Israel) (pp. 29-37)

D. How to create a computational medicine study?
(Virjo Wiwanitkit,Hainan Medical College,China) (pp. 39-45)

E. Identifying related cancer types
CD Bajdik,Department of Health Care & Epidemilolgy,University of British Columbia,Z Abanto, JJ Spinelli,University of Britich Columbia) (pp. 47-56)

Research and Review Studies

1. Sample size Calculation and Power in Genomics Studies
(Danh V. Nguyen, Division of Biostatistics, Univ. of California, Davis, California, Damla Senturk, Dept. of Statistics, Pennsylvania State Univ., Univ. Park, Pennsylvania, Danielle J. Harvey, Division of Biostatistics, Univ. of California, Davis, California, et al.) (pp. 59-87)

2. Coupling computational and experimental analysis for the prediction of transcription factor E2F regulatory elements in the human gene promoter
(Kenichi Yoshida, department of Life Sciences,Meiji Univ,Tama-ku,kawasaki,Kanagawa,Japan) (pp. 89-98)

3. Solving A Stochastic Generalized Assignment Problem
(David P. Morton, Graduate Program in Operations Research, Department of Mechanical Engineering, The University of Texas, Austin, TX) (pp. 99-128)

4. Reconstruction and analysis of large-scale phylogenetic data, challenges and opportunities
(Toni Gabaldón*, Marina Marcet-Houben and Jaime Huerta-Cepas, Bioinformatics Department, Centro de Investigación Príncipe Felipe,
Avda. Autopista del Saler 16, 46012 Valencia, Spain) (pp. 129-146)

5. Chromatin fiber:30 years of models
(Julien Mozziconacci,Laboratorie de Physique Theorique de la Matiere Condensee,Univ, Pierre et Marie Curie ,Paris,France, Christophe Lavelle,Institut Curie,Paris,France) (pp. 147-163)

6. Fast Modeling of Protein Structures Through Multi-level Contact Maps
(Davide Bau, Ian Walsh, Gianluca Pollastri, Alessandro Vullo, School of Computer Science and Informatics, University College Dublin, Belfield, Dublin, Ireland) (pp. 165-191)

7. Coarse-Grained Structural Model of Protein Molecules
(Kilho Eom and Sungsoo Na, 1Nano-Bio Research Center, Korea Institute of Science & Technology (KIST), Seoul, Republic of Korea, and others) (pp. 193-213)

8. Differentiating superficial and advances urothelial bladder carcinomas based on gene expression profiles analyzed using Self- Organizing maps
(Phei Lang Chang,Ke Hung Tsui,Tzu Hao Wang,Chien Lun Chen,Sheng Hui Lee,Department of Surgery,Division of Urology and Chang Gung Bioinformatics center,and Genomic Medicine Research Core Laboratory,Chang Gung Memorial Hospital,Chang Gung University,Taipei,Taiwan) (pp. 215-229)

9. Full Sibling Reconstruction in Wild Populations from Microsatellite Genetic Markers
(Mary V. Ashley, Tanya Y. Berger-Wolf, Isabel C. Caballero, Wanpracha Chaovalitwongse, Bhaskar DasGupta, Saad I. Sheikh, Department of Computer Science, University of Illinois at Chicago, Chicago, IL) (pp. 231-258)

10. Recent issues and computational approaches for developing prognostic gene signatures from gene expression data
(Seon-Young kim, Functional Genomics Research Center,Yuseong0gu,Daejeon,Korea, Hyun Ju Kim. Department of food snd nutrition,Daejeon Health Sciences college,Korea) (pp. 259-276)

11. Comparison of values and folding time predictions by using Monte-Carlo and Dynamic Programming approaches
(Oxana v. Galzitskaya, Serdiy O. Garbuzynskiy, Institute of Protein Research, Russian Academy of Sciences,Pushchino, Moscow Region,Russian Federation) (pp. 277-314)

12. Computational methods for protein structural class prediction
(Susan Costantini,Angelo M. Facchiano,Istituto di scienze dell'Alimentazion) (pp. 315-340)

13. Fundamentals of natural computation in living systems
(Abir U. Igamberdiev, Memorial University of Newfoundland,department of Biology,Canada) (pp. 341-360)

14. Extraction of position-sensitive promoter constituents
(Yoshiharu Y. Yamamoto, Junichi Obokata, Center for Gene Research,Nagoya University,Nagoya,Japan) (pp. 361-373)

15. Deconvolution of Positional Scanning: Synthetic Combinatorial Libraries: Mathematical Models and Bioinformatics Approaches
(Yingdong Zhao, Richard Simon, Biometric Research branch,National Cancer Institute,National institute of Health) (pp. 375-388)

16.Scripting of molecular structure viewer for data analysis using Lua Language interpreter
(Yutaka Ueno, National Institute of Advanced industrial science and technology,Ibaraki,Japan)(pp. 389-406)

17. Computational medicine research in hematology:a study on hemoglobin and prothrombin disorders
(Viroj Wiwanitkit,Department of laboratory Medicine,faculty of Medicine,Chulalongkorn University,Bangkok Thailand) (pp. 407-418)


Index

   Binding: Hardcover
   Pub. Date: 2009 2nd Quarter
   Pages: 441 pp.
   ISBN: 978-1-60692-040-4
   Status: AV
  
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
  
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