date: 2012-06-27T06:32:32Z
pdf:PDFVersion: 1.4
pdf:docinfo:title: The choice between MapMan and Gene Ontology for automated gene function prediction in plant science
xmp:CreatorTool: LaTeX with hyperref package
access_permission:can_print_degraded: true
subject: Since the introduction of the Gene Ontology (GO), the analysis of high-throughput data has become tightly coupled with the use of ontologies to establish associations between knowledge and data in an automated fashion.
dc:format: application/pdf; version=1.4
pdf:docinfo:creator_tool: LaTeX with hyperref package
access_permission:fill_in_form: true
pdf:encrypted: false
dc:title: The choice between MapMan and Gene Ontology for automated gene function prediction in plant science
modified: 2012-06-27T06:32:32Z
cp:subject: Since the introduction of the Gene Ontology (GO), the analysis of high-throughput data has become tightly coupled with the use of ontologies to establish associations between knowledge and data in an automated fashion.
pdf:docinfo:subject: Since the introduction of the Gene Ontology (GO), the analysis of high-throughput data has become tightly coupled with the use of ontologies to establish associations between knowledge and data in an automated fashion.
pdf:docinfo:creator: Zoran Nikoloski
meta:author: Zoran Nikoloski
meta:creation-date: 2012-06-27T10:59:46Z
created: 2012-06-27T10:59:46Z
access_permission:extract_for_accessibility: true
Creation-Date: 2012-06-27T10:59:46Z
Author: Zoran Nikoloski
producer: Acrobat Distiller 7.0 (Windows)
pdf:docinfo:producer: Acrobat Distiller 7.0 (Windows)
pdf:unmappedUnicodeCharsPerPage: 0
dc:description: Since the introduction of the Gene Ontology (GO), the analysis of high-throughput data has become tightly coupled with the use of ontologies to establish associations between knowledge and data in an automated fashion.
Keywords: Arabidopsis thaliana, design principles of ontologies, gene function prediction, Gene Ontology, information content, MapMan
access_permission:modify_annotations: true
dc:creator: Zoran Nikoloski
description: Since the introduction of the Gene Ontology (GO), the analysis of high-throughput data has become tightly coupled with the use of ontologies to establish associations between knowledge and data in an automated fashion.
dcterms:created: 2012-06-27T10:59:46Z
Last-Modified: 2012-06-27T06:32:32Z
dcterms:modified: 2012-06-27T06:32:32Z
title: The choice between MapMan and Gene Ontology for automated gene function prediction in plant science
xmpMM:DocumentID: uuid:3db24271-15e4-499d-9a1e-6479f7c8cc99
Last-Save-Date: 2012-06-27T06:32:32Z
pdf:docinfo:keywords: Arabidopsis thaliana, design principles of ontologies, gene function prediction, Gene Ontology, information content, MapMan
pdf:docinfo:modified: 2012-06-27T06:32:32Z
meta:save-date: 2012-06-27T06:32:32Z
Content-Type: application/pdf
X-Parsed-By: org.apache.tika.parser.DefaultParser
creator: Zoran Nikoloski
dc:subject: Arabidopsis thaliana, design principles of ontologies, gene function prediction, Gene Ontology, information content, MapMan
access_permission:assemble_document: true
xmpTPg:NPages: 14
pdf:charsPerPage: 4758
access_permission:extract_content: true
access_permission:can_print: true
meta:keyword: Arabidopsis thaliana, design principles of ontologies, gene function prediction, Gene Ontology, information content, MapMan
access_permission:can_modify: true
pdf:docinfo:created: 2012-06-27T10:59:46Z