Literature DB >> 19429601

MaHCO: an ontology of the major histocompatibility complex for immunoinformatic applications and text mining.

David S DeLuca1, Elena Beisswanger, Joachim Wermter, Peter A Horn, Udo Hahn, Rainer Blasczyk.   

Abstract

MOTIVATION: The high level of polymorphism associated with the major histocompatibility complex (MHC) poses a challenge to organizing associated bioinformatic data, particularly in the area of hematopoietic stem cell transplantation. Thus, this area of research has great potential to profit from the ongoing development of biomedical ontologies, which offer structure and definition to MHC-data related communication and portability issues.
RESULTS: We introduce the design considerations, methodological foundations and implementational issues underlying MaHCO, an ontology which represents the alleles and encoded molecules of the major histocompatibility complex. Importantly for human immunogenetics, it includes a detailed level of human leukocyte antigen (HLA) classification. We then present an ontology browser, search interfaces for immunogenetic fact and document retrieval, and the specification of an annotation language for semantic metadata, based on MaHCO. These use cases are intended to demonstrate the utility of ontology-driven bioinformatics in the field of immunogenetics.
AVAILABILITY AND IMPLEMENTATION: The MaHCO Ontology is available via the BioPortal: http://www.bioontology.org/tools/portal/bioportal.html, and at: http://purl.org/stemnet/.

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Year:  2009        PMID: 19429601     DOI: 10.1093/bioinformatics/btp306

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  4 in total

1.  Minimal Information about MHC Multimers (MIAMM).

Authors:  Randi Vita; Apurva Mody; James A Overton; Soren Buus; Stephen T Haley; Alessandro Sette; Vamsee Mallajosyula; Mark M Davis; Dale L Long; Richard A Willis; Bjoern Peters; John D Altman
Journal:  J Immunol       Date:  2022-02-01       Impact factor: 5.426

2.  Large-scale biomedical concept recognition: an evaluation of current automatic annotators and their parameters.

Authors:  Christopher Funk; William Baumgartner; Benjamin Garcia; Christophe Roeder; Michael Bada; K Bretonnel Cohen; Lawrence E Hunter; Karin Verspoor
Journal:  BMC Bioinformatics       Date:  2014-02-26       Impact factor: 3.169

3.  An ontology for major histocompatibility restriction.

Authors:  Randi Vita; James A Overton; Emily Seymour; John Sidney; Jim Kaufman; Rebecca L Tallmadge; Shirley Ellis; John Hammond; Geoff W Butcher; Alessandro Sette; Bjoern Peters
Journal:  J Biomed Semantics       Date:  2016-01-11

4.  Thematic issue of the Second combined Bio-ontologies and Phenotypes Workshop.

Authors:  Karin Verspoor; Anika Oellrich; Nigel Collier; Tudor Groza; Philippe Rocca-Serra; Larisa Soldatova; Michel Dumontier; Nigam Shah
Journal:  J Biomed Semantics       Date:  2016-12-12
  4 in total

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