Abstract
As single-cell studies become commonplace, the need for reuse, effective curation, and downstream analysis of data becomes a necessity. The development of single-cell protocols has presented a challenge for database design and construction. Newer droplet-based or gel beads in emulsion (GEM) techniques such as Drop-seq or 10× Genomics protocols can produce from 100,000 to millions of cells. To then be able to display vital metadata or secondary analyses in a coherent way will be essential moving forward. Here the current state of single-cell databases (SCDB) is explored, focusing on the needs of researchers, types of data stored and fields of study covered, common elements of SCDBs, secondary analyses, and use-case examples for some of the DBs mentioned.
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Walker, S., Abugessaisa, I., Kasukawa, T. (2021). Single Cell Databases: An Emerging and Essential Tool. In: Abugessaisa, I., Kasukawa, T. (eds) Practical Guide to Life Science Databases. Springer, Singapore. https://doi.org/10.1007/978-981-16-5812-9_9
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