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Control of gene expression : [proceedings] / edited by Alexander Kohn and Adam shatkay.
Oholo Biological Conference (18th : 1973 Zichron Yaakov)
BookLanguage:
שפה נוכחית
Regulatory genomics [electronic resource]
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Research in the field of gene regulation is evolving rapidly in the ever-changing scientific environment. Advances in microarray techniques and comparative genomics have enabled more comprehensive studies of regulatory genomics. The study of genomic binding locations of transcription factors has enabled a more comprehensive modeling of regulatory networks. In addition, complete genomic sequences and comparison of numerous related species have demonstrated the conservation of non-coding DNA sequences, which often provide evidence for cis-regulatory binding sites. Systematic methods to decipher
| Title |
Regulatory genomics [electronic resource] : proceedings of the 3rd annual RECOMB workshop : National University of Singapore, Singapore 17-18 July 2006 / editors, Leong Hon Wai, Sung Wing-Kin, Eleazar Eskin. |
|---|---|
| Publisher |
London : Imperial College Press |
| Creation Date |
c2008 |
| Notes |
Description based upon print version of record. Includes bibliographical references and index. English |
| Content |
Foreword RECOMB Regulatory Genomics 2006 Organization CONTENTS Keynote Papers Computational Prediction of Regulatory Elements by Comparative Sequence Analysis M. Tompa A Tale of Two Topics - Motif Significance and Sensitivity of Spaced Seeds M. Li Computational Challenges for Top-Down Modeling and Simulation of Biological Pathways S. Miyano An Improved Gibbs Sampling Method for Motif Discovery via Sequence Weighting T. Jiang Discovering Motifs with Transcription Factor Domain Knowledge F. Chin Applications of ILP in Computational Biology A . Dress On the Evolution of Transcription Regulation Networks R. Shamir Systems Pharmacology in Cancer Therapeutics: Iterative Informatics-Experimental Interface E. Liu Computational Structural Proteomics and Inhibitor Discovery R. Abagyan Characterization of Transcriptional Responses to Environmental Stress by Differential Location Analysis H. Tang A Knowledge-based Hybrid Algorithm for Protein Secondary Structure Prediction W. L. Hsu Monotony and Surprise (Conservative Approaches to Pattern Discovery) A . Apostolic0 Evolution of Bacterial Regulatory Systems M. S. Gelfand Contributed Papers TScan: A Two-step De NOVO Motif Discovery Method 0. Abul, G. K. Sandve, and F. Drabbs1. Introduction 2. Method 2.1. Step 1 2.2. Step 2 2.2.1, Over-representation Conservation Scoring 2.2.2. Frith et al. Scoring 3. Experiments 4. Conclusion References Redundancy Elimination in Motif Discovery Algorithms H. Leung and F. Chin 1. Introduction 2. Maximizing Likelihood 3. The Motif Redundancy Problem 3.1. The motif redundancy problem 3.2. Formal definition 4. Algorithm 5. Experimental Results 6. Concluding Remarks Appendix GAMOT: An Efficient Genetic Algorithm for Finding Challenging Motifs in DNA Sequences N. Karaoglu, S. Maurer-Stroh, and B. Manderick1. Introduction 2. GA for Motif Finding 3. An Efficient Algorithm (GAMOT) 3.1. Fast motif discovery 3.2. The genetic algorithm 4. Experimental Results 4.1. Comparison with exhaustive search 4.2. Comparison with GAI and GA2 4.3. Comparison with other algorithms 4.3.1. Quality of the solutions 4.4. GAMOTparameters 5. Conclusions and Future Work Identification of Spaced Regulatory Sites via Submotif Modeling E. Wijaya and R. Kanagasabai 1. Introduction 2. Related Work 3. Our Approach 4. Problem Definition 5. Algorithm SPACE 5.1. Generation of candidate motifs 5.2. Constrained frequent pattern mining 5.2.1. Generalized gap 5.2.2. Mining of constrained frequent patterns 5.3. Significance testing and scoring 6. Experimental Results 6.1. Results on Tompa's benchmark data set 6.2. Results on synthetic data set 7. Discussion and Conclusions Refining Motif Finders with E-value Calculations N. Nagarajan, P. Ng, and U. Keich 2. Efficiently Computing E-values 3. Optimizing for E-values - Conspv |
| Series |
Series on advances in bioinformatics and computational biology, 1751-6404 8 |
| Extent |
1 online resource (144 p.) |
| Language |
English |
| National Library system number |
997010718152005171 |
MARC RECORDS
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