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020 _a9789811585623
024 7 _a10.1007/978-981-15-8562-3
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQR100
_b2020 EB
245 0 0 _aMetagenomic Systems Biology :
_bIntegrative Analysis of the Microbiome
_cedited by Shailza Singh
250 _aFirst edition 2020
264 1 _aSingapore
_bSpringer Singapore :
_bImprint: Springer
_c2020.
300 _a1 recurso en línea (VII, 205 páginas)
_b16 ilustraciones, 14 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aBiomedical and Life Sciences (SpringerNature-11642)
490 0 _aBiomedical and Life Sciences (R0) (SpringerNature-43708)
505 0 _aChapter 1. Gut Microbiome in Microbial Pathogenicity -- Chapter 2. Role of Genome Wide Association Studies in Host Genetics: Towards Understanding of Microbiome Association -- Chapter 3. Understanding Microbiome Science through Big Data analysis -- Chapter 4. Comparative MetaGenomics Facilitates Drug Target Selection and Develop Intervention Strategies -- Chapter 5. Culture-independent omics-techniques for microbiome-based molecular therapeutics against Infectious Diseases -- Chapter 6. The Earth's Microbiome: Significance in Sustainable Development & Impact of Climate Changes -- Chapter 7. Microbiome for Personalized Medicine -- Chapter 8. Metagenomic Insights of Yarrowia lipolytica in Food Industry -- Chapter 9. Foodomics-The Why, Who and What of It. .
520 3 _aThe book serves as an amalgamation of knowledge and principles used in the area of systems and synthetic biology, and targets inter-disciplinary research groups. The readers from diversified areas would be benefited by the valuable resources and information available in one book. Microbiome projects with efficient data handling can fuel progress in the area of microbial synthetic biology by providing a ready to use plug and play chassis. Advances in gene editing technology such as the use of tailor made synthetic transcription factors will further enhance the availability of synthetic devices to be applied in the fields of environment, agriculture and health. The different chapters of the book reviews a broad range of topics, including food microbiome in ecology, use of microbiome in personalized medicine, machine learning in biomedicine. The book also describes ways to harness and exploit the incredible amounts of genomic data. The book is not only limited to medicine but also caters to the needs of environmentalists, biochemical engineers etc. Ii will be of interest to advanced students and researchers in life sciences, computational biology, microbiology and other inter-disciplinary areas. .
988 _aSpringer_BiomedLife_dic2020
650 7 _2embne
_aEcología microbiana
_9150106
700 1 _aSingh, Shailza
_eeditor literario
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811585616
776 0 8 _iPrinted edition:
_z9789811585630
776 0 8 _iPrinted edition:
_z9789811585647
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-15-8562-3
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b02/2021
_dz
_ea
_zSI