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Practical Guide to Life Science Databases 2021 ed. [Kõva köide]

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  • Formaat: Hardback, 224 pages, kõrgus x laius: 235x155 mm, kaal: 567 g, 1 Illustrations, black and white; X, 224 p. 1 illus., 1 Hardback
  • Ilmumisaeg: 07-Jan-2022
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9811658110
  • ISBN-13: 9789811658112
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  • Kõva köide
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  • Formaat: Hardback, 224 pages, kõrgus x laius: 235x155 mm, kaal: 567 g, 1 Illustrations, black and white; X, 224 p. 1 illus., 1 Hardback
  • Ilmumisaeg: 07-Jan-2022
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9811658110
  • ISBN-13: 9789811658112
Teised raamatud teemal:
This book provides the latest information of life science databases that center in the life science research and drive the development of the field. It introduces the fundamental principles, rationales and methodologies of creating and updating life science databases. The book brings together expertise and renowned researchers in the field of life science databases and brings their experience and tools at the fingertips of the researcher. The book takes bottom-up approach to explain the structure, content and the usability of life science database. Detailed explanation of the content, structure, query and data retrieval are discussed to provide practical use of life science database and to enable the reader to use database and provided tools in practice. The readers will learn the necessary knowledge about the untapped opportunities available in life science databases and how it could be used so as to advance basic research and applied research findings and transforming them to the benefit of human life. Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Chapter 1: GENCODE Annotation for the Human and Mouse Genome: A User
Perspective.
Chapter 2: Genecard a database for gene annotation.
Chapter
3: IHEC: International human epigenome portal.
Chapter 4: Atlas of miRNAs
and their Promoters in Human and Mouse.
Chapter 5: RefEX- Reference
Expression Dataset.
Chapter 6: The mouse Gene Expression Database.
Chapter
7: ChIP-Atlas.
Chapter 8: Protein structural changes based on structural
comparison.
Chapter 9: Single Cell Databases: an Emerging and Essential
Tool.
Chapter 10: scIVA: Single Cell Interactive Visualisation and Analysis
Data Mining Platform.
Chapter 11: Access and visualise high quality gene
expression data with Stemformatics.
Chapter 12: Introduction to Practical
Guide to Life Science Databases.
Imad Abugessaisa, Laboratory for Large-Scale Biomedical Data Technology, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan Takeya Kasukawa, Laboratory for Large-Scale Biomedical Data Technology, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan