portada Cis/Transgene Optimization: Systematic Discovery of Novel Gene Expression Elements Using Bioinformatics and Computational Biology Approaches (en Inglés)

Cis/Transgene Optimization: Systematic Discovery of Novel Gene Expression Elements Using Bioinformatics and Computational Biology Approaches (en Inglés)

Formato

Libro Físico

Autor

Saeid Kadkhodaei

Farahnaz Sadat Golestan Hashemi

Morvarid Akhavan Rezaei

Editorial

Springer

Idioma

Inglés

N° páginas

120

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6x0.8 cm

Peso

0.21 kg.

ISBN13

9783319903903

Categorías

Bioquímica
Ciencias de la computación

Cis/Transgene Optimization: Systematic Discovery of Novel Gene Expression Elements Using Bioinformatics and Computational Biology Approaches (en Inglés)

Saeid Kadkhodaei (Autor) · Farahnaz Sadat Golestan Hashemi (Autor) · Morvarid Akhavan Rezaei (Autor) · Springer · Tapa Blanda

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Reseña del libro "Cis/Transgene Optimization: Systematic Discovery of Novel Gene Expression Elements Using Bioinformatics and Computational Biology Approaches (en Inglés)"

This book is a practical review which focuses on computational analysis and on in silico approaches 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.