Cis/Transgene Optimization: Systematic Discovery of Novel Gene Expression Elements Using Bioinformatics and Computational Biology Approaches: SpringerBriefs in Systems Biology
Autor Saeid Kadkhodaei, Farahnaz Sadat Golestan Hashemi, Morvarid Akhavan Rezaei, Sahar Abbasiliasi, Joo Shun Tan, Hamid Rajabi Memari, Faruku Bande, Ali Baradaran, Mahdi Moradpour, Arbakariya B, Ariffen Limba Engleză Paperback – 25 mai 2018
The first chapter is an introduction on the key gene expression elements analysed in this book, including scaffold/matrix attachment regions, translation initiation sites, signal peptides as well as gene optimization. Chapter 2 focuses on systematic strategies and computational approaches toward in silico analysis of each factor. The analyses outcomes is assessed individually in chapter 3 followed by developing the specific conceptual models for each element in Chapter 4. The concluding remarks are discussed in Chapter 5.
This work is of interest to computational and experimental biologists interested in transcriptional regulation analysis as well as to researchers and scientists who wish to consider the use of bioinformatics and computational biology in design, analysis, or regulatory reviews of key gene expression elements for the production of recombinant proteins experiments.
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Specificații
ISBN-13: 9783319903903
ISBN-10: 331990390X
Pagini: 120
Ilustrații: XIX, 120 p. 24 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.21 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Systems Biology
Locul publicării:Cham, Switzerland
ISBN-10: 331990390X
Pagini: 120
Ilustrații: XIX, 120 p. 24 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.21 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Systems Biology
Locul publicării:Cham, Switzerland
Cuprins
1. Introduction.- 2. Systematic Strategies.- 3. Outcomes Assessment.- 4. Conceptual Models.
Textul de pe ultima copertă
This book is a practical review which focuses on computational analysis and on in silicoapproaches towards the systematic discovery of various key functional gene expression elements in microalgae as a model. So far, in this regard very little information is available. Efficient stepwise procedures for analysing the matrix attachment regions (MARs) are outlined, as well as for translation initiation sites (TIS), signal peptide (SP) sequences, gene optimization and transformation systems. These outlines can be efficiently deployed as practical models for the systematic discovery of key expression elements and for the optimization of cis/transgenes in other micro/organisms.
The first chapter is an introduction on the key gene expression elements analysed in this book, including scaffold/matrix attachment regions, translation initiation sites, signal peptides as well as gene optimization. Chapter 2 focuses on systematic strategies and computational approaches toward in silico analysis of each factor. The analyses outcomes is assessed individually in chapter 3 followed by developing the specific conceptual models for each element in Chapter 4. The concluding remarks are discussed in Chapter 5.
This work is of interest to computational and experimental biologists interested in transcriptional regulation analysis as well as to researchers and scientists who wish to consider the use of bioinformatics and computational biology in design, analysis, or regulatory reviews of key gene expression elements for the production of recombinant proteins experiments.
The first chapter is an introduction on the key gene expression elements analysed in this book, including scaffold/matrix attachment regions, translation initiation sites, signal peptides as well as gene optimization. Chapter 2 focuses on systematic strategies and computational approaches toward in silico analysis of each factor. The analyses outcomes is assessed individually in chapter 3 followed by developing the specific conceptual models for each element in Chapter 4. The concluding remarks are discussed in Chapter 5.
This work is of interest to computational and experimental biologists interested in transcriptional regulation analysis as well as to researchers and scientists who wish to consider the use of bioinformatics and computational biology in design, analysis, or regulatory reviews of key gene expression elements for the production of recombinant proteins experiments.
Caracteristici
Explains how in silico tools could be efficiently used in gene expression studies Broadens the understanding of bioinformatics and computational biology applications Offers step-by-step procedures for systematic discovery of key gene expression elements