title: Fast parsers for Entrez Gene.
abstract: NCBI completed the transition of its main genome annotation database from Locuslink to Entrez Gene in Spring 2005. However, to this date few parsers exist for the Entrez Gene annotation file. Owing to the widespread use of Locuslink and the popularity of Perl programming language in bioinformatics, a publicly available high performance Entrez Gene parser in Perl is urgently needed. We present four such parsers that were developed using several parsing approaches (Parse::RecDescent, Parse::Yapp, Perl-byacc and Perl 5 regular expressions) and provide the first in-depth comparison of these sophisticated Perl tools. Our fastest parser processes the entire human Entrez Gene annotation file in under 12 min on one Intel Xeon 2.4 GHz CPU and can be of help to the bioinformatics community during and after the transition from Locuslink to Entrez Gene.
authors.affiliation: GPC Biotech AG Fraunhoferstrasse 20, 82152 Martinsried, Germany.
authors.forename: Mingyi
authors.initials: M
authors.lastname: Liu
authors.forename: Andrei
authors.initials: A
authors.lastname: Grigoriev
mesh_terms: D000465:Algorithms; D003628:Database Management Systems; D030541:Databases, Genetic; D016247:Information Storage and Retrieval / Q000379:methods*; D009323:Natural Language Processing; D012984:Software; D014584:User-Computer Interface; D018875:Vocabulary, Controlled