Integration of Data in Pathogenomics: Three Layers of cellular complexity and an XML-based Framework

Dünßer M.; Lampidis R.; Schmidt S.; Seipel D.; Dandekar T.

doi:10.1515/jib-2004-5

Journal of Integrative Bioinformatics (Dec 2004)

Integration of Data in Pathogenomics: Three Layers of cellular complexity and an XML-based Framework

Dünßer M.,
Lampidis R.,
Schmidt S.,
Seipel D.,
Dandekar T.

Affiliations

Dünßer M.: Dept. of Bioinformatics, Biocenter, Hubland, D-97074, Germany Germany
Lampidis R.: Brigham and Women's Hospital, Division of Genetics, New Research Building, Rm 464c, 77 Ave Louis Pasteur, Boston, MA 02115, United States of America
Schmidt S.: Brigham and Women's Hospital, Division of Genetics, New Research Building, Rm 464c; 77 Ave Louis Pasteur; Boston, MA 02115, United States of America
Seipel D.: Dept. of Bioinformatics, Biocenter, 2Dept. of Informatics, Am Hubland, D-97074 Würzburg, Germany
Dandekar T.: Dept. of Bioinformatics, Biocenter, Am Hubland, D-97074 Würzburg, Germany Germany

DOI: https://doi.org/10.1515/jib-2004-5
Journal volume & issue: Vol. 1, no. 1
pp. 52 – 63

Abstract

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Integration of data in pathogenomics is achieved here considering three different levels of cellular complexity: (i) genome and comparative genomics, (ii) enzyme cascades and pathway analysis, (iii) networks including metabolic network analysis.

Published in Journal of Integrative Bioinformatics

ISSN: 1613-4516 (Online)
Publisher: De Gruyter
Country of publisher: Germany
LCC subjects: Technology: Chemical technology: Biotechnology
Website: https://www.degruyter.com/view/j/jib

About the journal