Michael Hackenberg1, Rune Matthiesen. 1. Bioinformatics Group, CIC bioGUNE, CIBER-HEPAD, Technology Park of Bizkaia, 48160 Derio, Bizkaia, Spain. mlhackenberg@gmail.com
Abstract
MOTIVATION: The ontological analysis of the gene lists obtained from DNA microarray experiments constitutes an important step in understanding the underlying biology of the analyzed system. Over the last years, many other high-throughput techniques emerged, covering now basically all 'omics' fields. However, for some of these techniques the generally used functional ontologies might not be sufficient to describe the biological system represented by the derived gene lists. For a more complete and correct interpretation of these experiments, it is important to extend substantially the number of annotations, adapting the ontological analysis to the new emerging techniques. RESULTS: We developed Annotation-Modules, which offers an improvement over the current tools in two critical aspects. First, the underlying annotation database implements features from many different fields like gene regulation and expression, sequence properties, evolution and conservation, genomic localization and functional categories-resulting in about 60 different annotation features. Second, it examines not only single annotations but also all the combinations, which is important to gain insight into the interplay of different mechanisms in the analyzed biological system. AVAILABILITY: http://web.bioinformatics.cicbiogune.es/AM/AnnotationModules.php
MOTIVATION: The ontological analysis of the gene lists obtained from DNA microarray experiments constitutes an important step in understanding the underlying biology of the analyzed system. Over the last years, many other high-throughput techniques emerged, covering now basically all 'omics' fields. However, for some of these techniques the generally used functional ontologies might not be sufficient to describe the biological system represented by the derived gene lists. For a more complete and correct interpretation of these experiments, it is important to extend substantially the number of annotations, adapting the ontological analysis to the new emerging techniques. RESULTS: We developed Annotation-Modules, which offers an improvement over the current tools in two critical aspects. First, the underlying annotation database implements features from many different fields like gene regulation and expression, sequence properties, evolution and conservation, genomic localization and functional categories-resulting in about 60 different annotation features. Second, it examines not only single annotations but also all the combinations, which is important to gain insight into the interplay of different mechanisms in the analyzed biological system. AVAILABILITY: http://web.bioinformatics.cicbiogune.es/AM/AnnotationModules.php
Authors: Michael Hackenberg; Pedro Carpena; Pedro Bernaola-Galván; Guillermo Barturen; Angel M Alganza; José L Oliver Journal: Algorithms Mol Biol Date: 2011-01-24 Impact factor: 1.405
Authors: Antonio Rueda; Guillermo Barturen; Ricardo Lebrón; Cristina Gómez-Martín; Ángel Alganza; José L Oliver; Michael Hackenberg Journal: Nucleic Acids Res Date: 2015-05-27 Impact factor: 16.971
Authors: Michael Hackenberg; Martin Sturm; David Langenberger; Juan Manuel Falcón-Pérez; Ana M Aransay Journal: Nucleic Acids Res Date: 2009-05-11 Impact factor: 16.971