Single Cell Analysis in Biotechnology and Systems Biology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Single Cell Analysis in Biotechnology and Systems Biology write by Fan-Gang Tseng. This book was released on 2018-10-01. Single Cell Analysis in Biotechnology and Systems Biology available in PDF, EPUB and Kindle. This book is a printed edition of the Special Issue "Single Cell Analysis in Biotechnology and Systems Biology" that was published in IJMS
Single Cell Analysis in Biotechnology and Systems Biology
Single Cell Analysis in Biotechnology and Systems Biology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Single Cell Analysis in Biotechnology and Systems Biology write by . This book was released on 2016. Single Cell Analysis in Biotechnology and Systems Biology available in PDF, EPUB and Kindle. Annotation Cells play significant roles in our day to day life. However, the interactions of cells, the cellular responses of organelles to molecules, and their intracellular behaviour, are still not fully understood. To better understand the physiological interactions among molecules, organelles, and cells, the ensemble measurement of (on average, millions of) cells cannot provide detailed information. However, for example, research concerning the differentiation behaviors of stem cells or the metastatic processes of tumour initiation requires detailed information. Understanding genomic sequence information at a single cell level can promote an understanding of how individual parts of a cell are integrated in time and space to form dynamic cellular processes. The relationship between cellular heterogeneity and signaling pathway regulation may result in an understanding of disease states that can potentially drive therapeutic interventions. Thus single cell analysis (SCA) has been emerging as a powerful method of investigating exciting new insights into genomics, fluxomics, proteomics, and systems biology.
Essentials of Single-Cell Analysis
Essentials of Single-Cell Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Essentials of Single-Cell Analysis write by Fan-Gang Tseng. This book was released on 2016-01-21. Essentials of Single-Cell Analysis available in PDF, EPUB and Kindle. This book provides an overview of single-cell isolation, separation, injection, lysis and dynamics analysis as well as a study of their heterogeneity using different miniaturized devices. As an important part of single-cell analysis, different techniques including electroporation, microinjection, optical trapping, optoporation, rapid electrokinetic patterning and optoelectronic tweezers are described in detail. It presents different fluidic systems (e.g. continuous micro/nano-fluidic devices, microfluidic cytometry) and their integration with sensor technology, optical and hydrodynamic stretchers etc., and demonstrates the applications of single-cell analysis in systems biology, proteomics, genomics, epigenomics, cancer transcriptomics, metabolomics, biomedicine and drug delivery systems. It also discusses the future challenges for single-cell analysis, including the advantages and limitations. This book is enjoyable reading material while at the same time providing essential information to scientists in academia and professionals in industry working on different aspects of single-cell analysis. Dr. Fan-Gang Tseng is a Distinguished Professor of Engineering and System Science at the National Tsing Hua University, Taiwan. Dr. Tuhin Subhra Santra is a Research Associate at the California Nano Systems Institute, University of California at Los Angeles, USA.
New Frontiers of Network Analysis in Systems Biology
New Frontiers of Network Analysis in Systems Biology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook New Frontiers of Network Analysis in Systems Biology write by Avi Ma'ayan. This book was released on 2012-06-25. New Frontiers of Network Analysis in Systems Biology available in PDF, EPUB and Kindle. The rapidly developing field of systems biology is influencing many aspects of biological research and is expected to transform biomedicine. Some emerging offshoots and specialized branches in systems biology are receiving particular attention and are becoming highly active areas of research. This collection of invited reviews describes some of the latest cutting-edge experimental and computational advances in these emerging sub-fields of systems biology. In particular, this collection focuses on the study of mammalian embryonic stem cells; new technologies involving mass-spectrometry proteomics; single cell measurements; methods for modeling complex stochastic systems; network-based classification algorithms; and the revolutionary emerging field of systems pharmacology.
Handbook of Statistical Bioinformatics
Handbook of Statistical Bioinformatics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Statistical Bioinformatics write by Henry Horng-Shing Lu. This book was released on 2022-12-08. Handbook of Statistical Bioinformatics available in PDF, EPUB and Kindle. Now in its second edition, this handbook collects authoritative contributions on modern methods and tools in statistical bioinformatics with a focus on the interface between computational statistics and cutting-edge developments in computational biology. The three parts of the book cover statistical methods for single-cell analysis, network analysis, and systems biology, with contributions by leading experts addressing key topics in probabilistic and statistical modeling and the analysis of massive data sets generated by modern biotechnology. This handbook will serve as a useful reference source for students, researchers and practitioners in statistics, computer science and biological and biomedical research, who are interested in the latest developments in computational statistics as applied to computational biology.
