Skip to main content

Coding Microbiological Data for Computers

  • Book
  • © 1986

Overview

Part of the book series: Springer Series in Microbiology (SSMIC)

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

Access this book

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
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

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (40 chapters)

  1. Introduction

  2. Direction for Coding Data

  3. Section

Keywords

About this book

As the title suggests, this book presents an open ended system in which computer techniques facilitate encoding, entry, management, and analysis of microbiological data derived from the study of bacteria, algae, fungi, and protozoa. The system is not constrained by any taxonomie point of view or proprietary computer technology and is freely and easily adaptable to the special needs of special problems. This enables investigators to deal efficiently with unforeseen areas of their investigation or with new data generated by old or new technology. We are sincerely grateful for the invaluable advice and encouragement of Professor V.B.D. Skerman. Many individuals contributed ideas and technical knowledge, and users of the system have contributed data and responsive criticism for more than a decade. Particularly, we acknowledge Lesley Jones for some editorial help; Keith E. McNeil for contributions to Section 7; Elwyn G. McIntyre for invaluable assistance with Section 8; Dr. B. Amdur for major contributions to Section 21; Dr. A.J. Wicken for assistance in expanding and updating Section 23; Dr. S. Feingold for some features of anaerobic bacteria in Section 24; Drs. J.

Authors and Affiliations

  • National Institute of Dental Research, National Institutes of Health, Bethesda, USA

    Morrison Rogosa, Micah I. Krichevsky

  • Department of Microbiology, University of Maryland, College Park, USA

    Rita R. Colwell

Bibliographic Information

  • Book Title: Coding Microbiological Data for Computers

  • Authors: Morrison Rogosa, Micah I. Krichevsky, Rita R. Colwell

  • Series Title: Springer Series in Microbiology

  • DOI: https://doi.org/10.1007/978-1-4612-4986-3

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag New York Inc. 1986

  • Softcover ISBN: 978-1-4612-9386-6Published: 01 October 2011

  • eBook ISBN: 978-1-4612-4986-3Published: 06 December 2012

  • Series ISSN: 0172-6331

  • Edition Number: 1

  • Number of Pages: XI, 299

  • Topics: Evolutionary Biology, Computer Appl. in Life Sciences, Microbiology

Publish with us