Biotechnology and bioforensics[elect...
Kumar, Amit.

 

  • Biotechnology and bioforensics[electronic resource] :new trends /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 660.6
    書名/作者: Biotechnology and bioforensics : new trends // by Amit Kumar.
    作者: Kumar, Amit.
    出版者: Singapore : : Springer Singapore :, 2015.
    面頁冊數: xii, 86 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Biotechnology.
    標題: Bioinformatics.
    標題: Chemistry.
    標題: Biomedical Engineering.
    標題: Forensic Medicine.
    標題: Plant Biochemistry.
    標題: Computational Biology/Bioinformatics.
    標題: Computational Intelligence.
    ISBN: 9789812870506 (electronic bk.)
    ISBN: 9789812870490 (paper)
    內容註: Amplification and Sequence Analysis of TPI Gene -- Anti-Cancer Activity of Selected Seaweeds Against HeLa, K-562 and MDA-MB Cell Lines -- Biohardening of Micropropagated Plants With PGPR -- Decolorization and Biosorption of Dyes -- Effect of Plant Growth Regulators on Morphological -- Lactobacillus Model Moiety -- Low BDNF Levels -- Predisposition factors -- Rapid Diagonostic Tests.
    摘要、提要註: This Brief covers broad areas of Applied Biology specifically into the domains of Biotechnology/Biomedicine and Forensic Science. Chapters included here would also explain the role of bioinformatics in protein and gene characterization, modeling of the protein structure, survey related to the chromosomal effect on Human Disorders like Diabetes and Cardiac Problems. This Brief is full of Innovative Literature like Use of Microbes in Electricity Production, Brain connection to Type 2 Diabetes etc. Interesting issues in Forensic biology and the aspects of Bioforensics like STR profiling of exhumed bones makes this brief truly useful and informative for Researchers. It also includes the advancements and new ideologies in understanding crop improvements & crop quality. This Brief witnesses Innovative Research related to the Bio and Agri software development too which are capable of accelerating Insilico biological data analysis.
    電子資源: http://dx.doi.org/10.1007/978-981-287-050-6
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