Skip to main content

Abstract

Systematic genome mapping and sequencing projects are generating resources that will permanently change the practice of molecular biology. To maximise their effect, we have to make the information available to the scientific community in as useful a form as possible. It has been said that the sheer quantity of genomic information that we are just now beginning to gather will cause problems for any database system that must store it. That is not in itself strictly true; in fact the current total of genome mapping and sequence data, for all organisms combined, would sit comfortably in a one gigabyte disk, which is small for a workstation, and even conceivable for a PC. Furthermore, although the amount of genome data being collected is undergoing exponential growth, so is the capacity of computer storage systems, with an even shorter doubling time, so the issue of raw storage capacity is becoming progressively easier.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Refrences

  1. “Software for genome mapping by fmgerprinting techniques”, J. Sulston, F. Mallett, R. Staden, R. Durbin, T. Horsnell and A. Coulson, Comput. Applic. Biosci. 4, 125–132 (1988).

    CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1994 Springer Science+Business Media New York

About this chapter

Cite this chapter

Durbin, R., Thierry-Mieg, J. (1994). The ACEDB Genome Database. In: Suhai, S. (eds) Computational Methods in Genome Research. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-2451-9_4

Download citation

  • DOI: https://doi.org/10.1007/978-1-4615-2451-9_4

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-6042-1

  • Online ISBN: 978-1-4615-2451-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics