Good-enough RFLP matcher (GERM) program

Ian A. Dickie; Peter G. Avis; David J. McLaughlin; Peter B. Reich

doi:10.1007/s00572-003-0225-x

Good-enough RFLP matcher (GERM) program

Ian A. Dickie, Peter G. Avis, David J. McLaughlin, Peter B. Reich

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Abstract

A spreadsheet-based program (Good-Enough RFLP Matcher or GERM) is presented that matches unknown restriction fragment length polymorphism (RFLP) patterns of ectomycorrhizal fungi to a database of known ectomycorrhizal fungi. The program uses three simple methods to determine whether a sample matches a known: (1) Forward Matching: whether every band in the unknown is present in a known sample within a given error range; (2) Backward Matching: whether every band in the known sample is present in the unknown within a given error range; (3) Sum of Bands: whether the sum of all bands in the known and unknown are similar within a given error range. The program is available through the web page of this journal.

Original language	English (US)
Pages (from-to)	171-172
Number of pages	2
Journal	Mycorrhiza
Volume	13
Issue number	3
DOIs	https://doi.org/10.1007/s00572-003-0225-x
State	Published - Jun 2003

Bibliographical note

Funding Information:
Acknowledgements T. Horton assisted with testing and improving this program. Major support was provided by an NSF LTER grant (NSF/DEB 0080382). This research was also supported in part by the University of Minnesota Agricultural Experiment Station.

Keywords

Ectomycorrhiza
Fungi
Identification

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10.1007/s00572-003-0225-x

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title = "Good-enough RFLP matcher (GERM) program",

abstract = "A spreadsheet-based program (Good-Enough RFLP Matcher or GERM) is presented that matches unknown restriction fragment length polymorphism (RFLP) patterns of ectomycorrhizal fungi to a database of known ectomycorrhizal fungi. The program uses three simple methods to determine whether a sample matches a known: (1) Forward Matching: whether every band in the unknown is present in a known sample within a given error range; (2) Backward Matching: whether every band in the known sample is present in the unknown within a given error range; (3) Sum of Bands: whether the sum of all bands in the known and unknown are similar within a given error range. The program is available through the web page of this journal.",

keywords = "Ectomycorrhiza, Fungi, Identification",

author = "Dickie, {Ian A.} and Avis, {Peter G.} and McLaughlin, {David J.} and Reich, {Peter B.}",

note = "Funding Information: Acknowledgements T. Horton assisted with testing and improving this program. Major support was provided by an NSF LTER grant (NSF/DEB 0080382). This research was also supported in part by the University of Minnesota Agricultural Experiment Station.",

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AU - Avis, Peter G.

AU - McLaughlin, David J.

AU - Reich, Peter B.

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N2 - A spreadsheet-based program (Good-Enough RFLP Matcher or GERM) is presented that matches unknown restriction fragment length polymorphism (RFLP) patterns of ectomycorrhizal fungi to a database of known ectomycorrhizal fungi. The program uses three simple methods to determine whether a sample matches a known: (1) Forward Matching: whether every band in the unknown is present in a known sample within a given error range; (2) Backward Matching: whether every band in the known sample is present in the unknown within a given error range; (3) Sum of Bands: whether the sum of all bands in the known and unknown are similar within a given error range. The program is available through the web page of this journal.

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ER -

Good-enough RFLP matcher (GERM) program

Abstract

Bibliographical note

Keywords

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