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Practical Guide to Life Science Databases
Title
Practical Guide to Life Science Databases [electronic resource] / edited by Imad Abugessaisa, Takeya Kasukawa.
ISBN
9789811658129
Edition
1st ed. 2021.
Publication
Singapore : Springer Singapore : Imprint: Springer, 2021.
Physical Description
1 online resource (X, 224 p.) 1 illus.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
January 24, 2022
Contents
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.
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