Coding Microbiological Data for Computers

Morrison Rogosa

ISBN 10: 1461293863 / ISBN 13: 9781461293866

Published by Springer New York, 2011

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9781461293866

Bibliographic Details

• Title: Coding Microbiological Data for Computers
• Publisher: Springer New York
• Publication Date: 2011
• Language: English
• ISBN 10: 1461293863
• ISBN 13: 9781461293866
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 18D millimeters 235 millimeters width by 155 millimeters height by 18 millimeters depth
• Weight: 482 grams

About this title

Synopsis

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.