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020 _a9789811585623
_9978-981-15-8562-3
024 7 _a10.1007/978-981-15-8562-3
_2doi
050 4 _aQR74.8-99.5
072 7 _aPSGD
_2bicssc
072 7 _aSCI006000
_2bisacsh
072 7 _aPSG
_2thema
082 0 4 _a579.3
_223
245 1 0 _aMetagenomic Systems Biology
_h[electronic resource] :
_bIntegrative Analysis of the Microbiome /
_cedited by Shailza Singh.
250 _a1st ed. 2020.
264 1 _aSingapore :
_bSpringer Singapore :
_bImprint: Springer,
_c2020.
300 _aVII, 205 p. 16 illus., 14 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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 _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. .
650 0 _aBacteriology.
650 0 _aMicrobiology.
650 0 _aMedical microbiology.
650 0 _aSystems biology.
650 0 _aBiomedical engineering.
650 1 4 _aBacteriology.
_0https://scigraph.springernature.com/ontologies/product-market-codes/L23012
650 2 4 _aEukaryotic Microbiology.
_0https://scigraph.springernature.com/ontologies/product-market-codes/L23020
650 2 4 _aMedical Microbiology.
_0https://scigraph.springernature.com/ontologies/product-market-codes/B16003
650 2 4 _aSystems Biology.
_0https://scigraph.springernature.com/ontologies/product-market-codes/L15010
650 2 4 _aBiomedical Engineering/Biotechnology.
_0https://scigraph.springernature.com/ontologies/product-market-codes/B24000
700 1 _aSingh, Shailza.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
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://doi.org/10.1007/978-981-15-8562-3
912 _aZDB-2-SBL
912 _aZDB-2-SXB
950 _aBiomedical and Life Sciences (SpringerNature-11642)
950 _aBiomedical and Life Sciences (R0) (SpringerNature-43708)
999 _c553322
_d553257