Systems Analysis of Human Multigene Disorders
Editors: Maltsev, PhD, Natalia, Rzhetsky, Andrey, Gilliam, PhD, T. Conrad (Eds.)
Free Preview- High-throughput experimental genomics technologies for data collection
- Bioinformatics approaches for systems-level analysis of biological systems and prediction of causative multidimensional patterns of inheritance characteristic of multigene disorders
- Case scenarios of systems-level analysis of multigene disorders
Buy this book
- About this book
-
Understanding the genetic architecture underlying complex multigene disorders is one of the major goals of human genetics in the upcoming decades. Advances in whole genome sequencing and the success of high throughput functional genomics allow supplementing conventional reductionist biology with systems-level approaches to human heredity and health as systems of interacting genetic, epigenetic, and environmental factors. This integrative approach holds the promise of unveiling yet unexplored levels of molecular organization and biological complexity. It may also hold the key to deciphering the multigene patterns of disease inheritance.
- Table of contents (5 chapters)
-
-
Wellness and Health Omics Linked to the Environment: The WHOLE Approach to Personalized Medicine
Pages 1-14
-
Characterizing Multi-omic Data in Systems Biology
Pages 15-38
-
High-Throughput Translational Medicine: Challenges and Solutions
Pages 39-67
-
Computational Approaches for Human Disease Gene Prediction and Ranking
Pages 69-84
-
A Personalized Treatment for Lung Cancer: Molecular Pathways, Targeted Therapies, and Genomic Characterization
Pages 85-117
-
Table of contents (5 chapters)
Recommended for you
Bibliographic Information
- Bibliographic Information
-
- Book Title
- Systems Analysis of Human Multigene Disorders
- Editors
-
- Natalia Maltsev, PhD
- Andrey Rzhetsky
- T. Conrad Gilliam, PhD
- Series Title
- Advances in Experimental Medicine and Biology
- Series Volume
- 799
- Copyright
- 2014
- Publisher
- Springer-Verlag New York
- Copyright Holder
- Springer Science+Business Media New York
- eBook ISBN
- 978-1-4614-8778-4
- DOI
- 10.1007/978-1-4614-8778-4
- Hardcover ISBN
- 978-1-4614-8777-7
- Softcover ISBN
- 978-1-4939-5194-9
- Series ISSN
- 0065-2598
- Edition Number
- 1
- Number of Pages
- XIII, 122
- Number of Illustrations
- 12 illustrations in colour
- Topics
