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Enhort: a platform for deep analysis of genomic positions.
Menzel, Michael; Koch, Peter; Glasenhardt, Stefan; Gogol-Döring, Andreas.
Afiliação
  • Menzel M; MNI, Technische Hochschule Mittelhessen-University of Applied Sciences, Giessen, Hessen, Germany.
  • Koch P; MNI, Technische Hochschule Mittelhessen-University of Applied Sciences, Giessen, Hessen, Germany.
  • Glasenhardt S; MNI, Technische Hochschule Mittelhessen-University of Applied Sciences, Giessen, Hessen, Germany.
  • Gogol-Döring A; MNI, Technische Hochschule Mittelhessen-University of Applied Sciences, Giessen, Hessen, Germany.
PeerJ Comput Sci ; 5: e198, 2019.
Article em En | MEDLINE | ID: mdl-33816851
The rise of high-throughput methods in genomic research greatly expanded our knowledge about the functionality of the genome. At the same time, the amount of available genomic position data increased massively, e.g., through genome-wide profiling of protein binding, virus integration or DNA methylation. However, there is no specialized software to investigate integration site profiles of virus integration or transcription factor binding sites by correlating the sites with the diversity of available genomic annotations. Here we present Enhort, a user-friendly software tool for relating large sets of genomic positions to a variety of annotations. It functions as a statistics based genome browser, not focused on a single locus but analyzing many genomic positions simultaneously. Enhort provides comprehensive yet easy-to-use methods for statistical analysis, visualization, and the adjustment of background models according to experimental conditions and scientific questions. Enhort is publicly available online at enhort.mni.thm.de and published under GNU General Public License.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article