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Irving H. Goldberg

dblp:293/0195 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1987
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 77% Computational science and engineering · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
sequence analysis
0.011987
Analysis of microdensitometric data in terms of probability of cleavage of DNA · Comput. Appl. Biosci. 1987
Computational science and engineering › numerical analysis
curve fitting
0.011987
Analysis of microdensitometric data in terms of probability of cleavage of DNA · Comput. Appl. Biosci. 1987

Methods — techniques the papers use, named apart from their topics

powell least-squares · 0.0
YearPublicationVenuePosition
1987 Analysis of microdensitometric data in terms of probability of cleavage of DNA
abstract
Computer-aided analysis of autoradiographic films of DNA fragments is presented. The Powell least-squares procedure is used for optimization of parameters for components of complex densitometric curves. Since each densitometric spectrum may be divided for several non-overlapped blocks of bands, there is no upper limit on the number of parameters which must be optimized. Eight shapes for the component bands are utilized: symmetric and asymmetric Gauss and Cauchy functions, direct, symmetric and asymmetric product of Gauss function and inverse of Cauchy function, and log-normal function. The probability of DNA cleavage is calculated with correction for multiple cuts. The methods presented was applied to detailed analysis of densitometric spectra of a 21-bp DNA restriction fragment and allowed for direct correlation between structural microheterogeneity of DNA and the resulting cutting pattern. This method should facilitate the analysis of densitometric data from antibiotic-induced cleavage of DNA and footprinting experiments.
Andrzej Galat, Irving H. Goldberg
Comput. Appl. Biosci.2