Personnaliser

OK

Informations importantes : Arrêt du Club R (13 août) et Cessation d'Activité (30 septembre)

En savoir plus.

Gene Discovery for Disease Models -

Note : 0

0 avis
  • Soyez le premier à donner un avis

189,56 €

Produit Neuf

  • Ou 47,39 € /mois

    • Livraison : 3,99 €
    • Livré entre le 28 août et le 3 septembre
    Voir les modes de livraison

    M_plus_L

    PRO Vendeur favori

    4,8/5 sur + de 1 000 ventes

    Publicité
     
    Vous avez choisi le retrait chez le vendeur à
    • Payez directement sur Rakuten (CB, PayPal, 4xCB...)
    • Récupérez le produit directement chez le vendeur
    • Rakuten vous rembourse en cas de problème

    Gratuit et sans engagement

    Félicitations !

    Nous sommes heureux de vous compter parmi nos membres du Club Rakuten !

    En savoir plus

    Retour

    Horaires

        Note :


        Avis sur Gene Discovery For Disease Models Format Relié  - Livre

        Note : 0 0 avis sur Gene Discovery For Disease Models Format Relié  - Livre

        Les avis publiés font l'objet d'un contrôle automatisé de Rakuten.


        Présentation Gene Discovery For Disease Models Format Relié

         - Livre

        Livre - 01/04/2011 - Relié - Langue : Anglais

        . .

      • Editeur : John Wiley & Sons
      • Langue : Anglais
      • Parution : 01/04/2011
      • Format : Moyen, de 350g à 1kg
      • Nombre de pages : 560.0
      • Expédition : 998
      • Dimensions : 23.6 x 15.7 x 3.3
      • ISBN : 9780470499467



      • Résumé :
        This book provides readers with new paradigms on the mutation discovery in the post-genome era. The completion of human and other genome sequencing, along with other new technologies, such as mutation analysis and microarray, has dramatically accelerated the progress in positional cloning of genes from mutated models. In 2002, the Mouse Genome Sequencing Consortium stated that The availability of an annotated mouse genome sequence now provides the most efficient tool yet in the gene hunter's toolkit. One can move directly from genetic mapping to identification of candidate genes, and the experimental process is reduced to PCR amplification and sequencing of exons and other conserved elements in the candidate interval. With this streamlined protocol, it is anticipated that many decades-old mouse mutants will be understood precisely at the DNA level in the near future. The implication of such a statement should be similar to the identification of mutated genes from human diseases and animal models, when genome sequencing is completed for them. More than five years have passed, but genes in many human diseases and animal models have not yet been identified. In some cases, the identification of the mutated genes has been a bottleneck, because the genetic mechanism holds the key to understand the basis of the diseases. However, an integrative strategy, which is a combination of genetic mapping, genome resources, bioinformatics tools, and high throughput technologies, has been developed and tested. The classic paradigm of positional cloning has evolved with completely new concepts of genomic cloning and protocols. This book describes new concepts of gene discovery in the post-genome era and the use of streamlined protocols to identify genes of interest. This book helps identify not only large insertions/deletions but also single nucleotide mutations or polymorphisms that regulate quantitative trait loci (QTL)....

        Biographie:
        Weikuan Gu received his PhD from Cornell University in 1994 and joined the University of Tennessee Health Science Center as an assistant professor in 2002. Dr. Gu's lab has developed an integrated strategy for the positional cloning of genes, a strategy which has been successfully applied to clone several genes from spontaneous mouse mutations.

        Yongjun Wang received his MD from Hebei Medical College in 1982 and his MBA from Peking University in 2004. Dr. Wang joined Beijing Tiantan Hospital in 2000 and now serves as the vice president of the hospital.

        ...

        Sommaire:
        Preface.

        Acknowledgments.

        Contributors.

        1. Gene Discovery: From Positional Cloning to Genomic Cloning (Weikuan Gu and Daniel Goldowitz).

        2. High-Throughput Gene Expression Analysis and the Identification of Expression QTLs (Rudi Alberts and Klaus Schughart).

        3. DNA Methylation in the Pathogenesis of Autoimmunity (Xueqing Xu, Ping Yang, Zhang Shu, Yun Bai, and Cong-Yi Wang).

        4. Cell-Based Analysis with Microfl uidic Chip (Wang Qi and Zhao Long).

        5. Missing Dimension: Protein Turnover Rate Measurement in Gene Discovery (Gary Guishan Xiao).

        6. Bioinformatics Tools for Gene Function Prediction (Yan Cui).

        7. Determination of Genomic Locations of Target Genetic Loci (Bo Chang).

        8. Mutation Discovery Using High-Throughput Mutation Screening Technology (Kai Li, Hanlin Gao, Hong-Guang Xie, Wanping Sun, and Jia Zhang).

        9. Candidate Screening through Gene Expression Profile (Michal Korostynski).

        10. Candidate Screening through High-Density SNP Array (Ching-Wan Lam and Kin-Chong Lau).

        11. Gene Discovery by Direct Genome Sequencing (Kunal Ray, Arijit Mukhopadhyay, and Mainak Sengupta).

        12. Candidate Screening through Bioinformatics Tools (Song Wu and Wei Zhao).

        13. Using an Integrative Strategy to Identify Mutations (Yan Jiao and Weikuan Gu).

        14. Determination of the Function of a Mutation (Bouchra Edderkaoui).

        15. Confi rmation of a Mutation by Multiple Molecular Approaches (Hector Martinez-Valdez and Blanca Ortiz-Quintero).

        16. Confi rmation of a Mutation by MicroRNA (Hongwei Zheng and Yongjun Wang).

        17. Confi rmation of Gene Function Using Translational Approaches (Caroline J. Zeiss).

        18. Confi rmation of Single Nucleotide Mutations (Jochen Graw).

        19. Initial Identifi cation and Confi rmation of a QTL Gene (David C. Airey and Chun Li).

        20. Gene Discovery of Crop Disease in the Postgenome Era (Yulin Jia).

        21. Impact of Genomewide Structural Variation on Gene Discovery (Lisenka E.L.M. Vissers and Joris A. Veltman).

        22. Impact of Whole Genome Protein Analysis on Gene Discovery of Disease Models (Sheng Zhang, Yong Yang, and Theodore W. Thannhauser).

        Index.

        ...

        Détails de conformité du produit

        Consulter les détails de conformité de ce produit (

        Personne responsable dans l'UE

        )
        Le choixNeuf et occasion
        Le service clientsÀ votre écoute
        LinkedinFacebookTwitterInstagramYoutubePinterestTiktok
        visavisa
        mastercardmastercard
        klarnaklarna
        paypalpaypal
        floafloa
        americanexpressamericanexpress
        Rakuten Logo
        • Rakuten Kobo
        • Rakuten TV
        • Rakuten Viber
        • Rakuten Viki
        • Plus de services
        • À propos de Rakuten
        Rakuten.com