東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Cis/transgene optimization = systema...

Kadkhodaei, Saeid.

Linked to FindBook

Google Book

Amazon

博客來

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Cis/transgene optimization/ by Saeid Kadkhodaei ... [et al.].
Reminder of title:	systematic discovery of novel gene expression elements using bioinformatics and computational biology approaches /
Author:	Kadkhodaei, Saeid.
other author:	Golestan Hashemi, Farahnaz Sadat.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	xvii, 120 p. :ill., digital ;24 cm.
[NT 15003449]:	1. Introduction -- 2. Systematic Strategies -- 3. Outcomes Assessment -- 4. Conceptual Models.
Contained By:	Springer eBooks
Subject:	Recombinant proteins. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-90391-0
ISBN:	9783319903910

Cis/transgene optimization = systematic discovery of novel gene expression elements using bioinformatics and computational biology approaches /
Kadkhodaei, Saeid.

Cis/transgene optimizationsystematic discovery of novel gene expression elements using bioinformatics and computational biology approaches /[electronic resource] :by Saeid Kadkhodaei ... [et al.]. - Cham :Springer International Publishing :2018. - xvii, 120 p. :ill., digital ;24 cm. - SpringerBriefs in systems biology,2193-4746. - SpringerBriefs in systems biology..

1. Introduction -- 2. Systematic Strategies -- 3. Outcomes Assessment -- 4. Conceptual Models.

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.

ISBN: 9783319903910

Standard No.: 10.1007/978-3-319-90391-0doiSubjects--Topical Terms:

916367
Recombinant proteins.

LC Class. No.: TP248.65.P76

Dewey Class. No.: 660.65

Cis/transgene optimization = systematic discovery of novel gene expression elements using bioinformatics and computational biology approaches /
LDR:02839nmm a2200349 a 4500 001 2145753
003 DE-He213
005 20181116111815.0
006 m d
007 cr nn 008maaau
008 190227s2018 gw s 0 eng d
020 $a 9783319903910 $q (electronic bk.)
020 $a 9783319903903 $q (paper)
024 7 $a 10.1007/978-3-319-90391-0 $2 doi
035 $a 978-3-319-90391-0
040 $a GP $c GP
041 0 $a eng
050 4 $a TP248.65.P76
072 7 $a PS $2 bicssc
072 7 $a UB $2 bicssc
072 7 $a SCI086000 $2 bisacsh
072 7 $a COM018000 $2 bisacsh
082 0 4 $a 660.65 $2 23
090 $a TP248.65.P76 $b K11 2018
100 1 $a Kadkhodaei, Saeid. $3 3331675
245 1 0 $a Cis/transgene optimization $h [electronic resource] : $b systematic discovery of novel gene expression elements using bioinformatics and computational biology approaches / $c by Saeid Kadkhodaei ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xvii, 120 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in systems biology, $x 2193-4746
505 0 $a 1. Introduction -- 2. Systematic Strategies -- 3. Outcomes Assessment -- 4. Conceptual Models.
520 $a 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.
650 0 $a Recombinant proteins. $3 916367
650 0 $a Transgenes $x Expression. $3 3331677
650 0 $a Genomics. $3 600531
650 1 4 $a Life Sciences. $3 890838
650 2 4 $a Computer Appl. in Life Sciences. $3 892390
650 2 4 $a Systems Biology. $3 928020
650 2 4 $a Computational Biology/Bioinformatics. $3 898313
650 2 4 $a Proteomics. $3 600542
700 1 $a Golestan Hashemi, Farahnaz Sadat. $3 3331676
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in systems biology. $3 1619652
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-90391-0
950 $a Biomedical and Life Sciences (Springer-11642)