Cis/transgene optimization : systematic discovery of novel gene expression elements using bioinformatics and computational biology approaches /

Saved in:
Bibliographic Details
Author / Creator:Kadkhodaei, Saeid, author.
Imprint:Cham, Switzerland : Springer, [2018]
Description:1 online resource
Language:English
Series:SpringerBriefs in systems biology
SpringerBriefs in systems biology.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11655125
Hidden Bibliographic Details
ISBN:9783319903910
3319903918
9783319903927
3319903926
331990390X
9783319903903
Digital file characteristics:text file PDF
Notes:Includes bibliographical references and index.
Online resource; title from digital title page (viewed on July 19, 2018).
Summary: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.
Other form:Print version: CIS/TRANSGENE OPTIMIZATION. [Place of publication not identified] : SPRINGER INTERNATIONAL PU, 2018 331990390X 9783319903903
Standard no.:10.1007/978-3-319-90391-0
10.1007/978-3-319-90