Regulatory genomics

لتكبير النص لتصغير النص
  • كتاب

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

العنوان Regulatory genomics : 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.
الطبعة 1st ed.
الناشر London : Imperial College Press
تاريخ الإصدار c2008
ملاحظات Description based upon print version of record.
Includes bibliographical references and index.
English
رقم الرف 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
سلسلة Series on advances in bioinformatics and computational biology, 1751-6404
8
الشكل 1 online resource (144 p.)
اللغة الانكليزية
رقم النظام 997010718152005171
MARC RECORDS

أتعرفون المزيد عن هذا العنصر؟ وجدتم خطأ ما؟