MinSet: a general approach to derive maximally representative database subsets by using fragment dictionaries and its application to the SCOP database.
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%0 Journal Article
%1 journals/bioinformatics/PandiniBFK07
%A Pandini, Alessandro
%A Bonati, Laura
%A Fraternali, Franca
%A Kleinjung, Jens
%D 2007
%J Bioinform.
%K dblp
%N 4
%P 515-516
%T MinSet: a general approach to derive maximally representative database subsets by using fragment dictionaries and its application to the SCOP database.
%U http://dblp.uni-trier.de/db/journals/bioinformatics/bioinformatics23.html#PandiniBFK07
%V 23
@article{journals/bioinformatics/PandiniBFK07,
added-at = {2020-03-02T00:00:00.000+0100},
author = {Pandini, Alessandro and Bonati, Laura and Fraternali, Franca and Kleinjung, Jens},
biburl = {https://www.bibsonomy.org/bibtex/2080d0a49a2d95327d70e8f8543ee45c5/dblp},
ee = {https://www.wikidata.org/entity/Q48418894},
interhash = {2760af16d218a0585547f0270e188dd0},
intrahash = {080d0a49a2d95327d70e8f8543ee45c5},
journal = {Bioinform.},
keywords = {dblp},
number = 4,
pages = {515-516},
timestamp = {2020-03-03T11:59:46.000+0100},
title = {MinSet: a general approach to derive maximally representative database subsets by using fragment dictionaries and its application to the SCOP database.},
url = {http://dblp.uni-trier.de/db/journals/bioinformatics/bioinformatics23.html#PandiniBFK07},
volume = 23,
year = 2007
}
