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  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Cis/Transgene Optimization
    sub title: Systematic Discovery of Novel Gene Expression Elements Using Bioinformatics and Computational Biology Approaches
  name:
    name part: Kadkhodaei, Saeid.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
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      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Golestan Hashemi, Farahnaz Sadat.
    role:
      role term: author.
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      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Akhavan Rezaei, Morvarid.
    role:
      role term: author.
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      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Abbasiliasi, Sahar.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Tan, Joo Shun.
    role:
      role term: author.
    role:
      role term: aut
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      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Memari, Hamid Rajabi.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Bande, Faruku.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Baradaran, Ali.
    role:
      role term: author.
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      role term: aut
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      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Moradpour, Mahdi.
    role:
      role term: author.
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      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Ariff, Arbakariya B,.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIX, 120 p. 24 illus. online resource.
  abstract: 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.
  table of contents: 1. Introduction -- 2. Systematic Strategies -- 3. Outcomes Assessment -- 4. Conceptual Models.
  note: by 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, Ariff.
  subject:
    topic: Bioinformatics
  subject:
    topic: Computational biology
  subject:
    topic: Systems biology
  subject:
    topic: Bioinformatics
  subject:
    topic: Proteomics
  subject:
    topic: Computer Appl. in Life Sciences
  subject:
    topic: Systems Biology
  subject:
    topic: Computational Biology/Bioinformatics
  subject:
    topic: Proteomics
  classification: QH324.2-324.25
  classification: 570.285
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Systems Biology
  identifier: 9783319903910
  identifier: https://doi.org/10.1007/978-3-319-90391-0
  record info:
    record creation date: 180516
    record change date: 20191027152444.0
    record identifier: 978-3-319-90391-0