Your browser doesn't support javascript.
loading
EasyStrata: evaluation and visualization of stratified genome-wide association meta-analysis data.
Winkler, Thomas W; Kutalik, Zoltan; Gorski, Mathias; Lottaz, Claudio; Kronenberg, Florian; Heid, Iris M.
Afiliación
  • Winkler TW; Department of Genetic Epidemiology, University of Regensburg, D-93053 Regensburg, Germany, Department of Medical Genetics, University of Lausanne, CH-1005 Lausanne, Switzerland, Institute of Social and Preventive Medicine (IUMSP), Centre Hospitalier Universitaire Vaudois (CHUV), CH-1010 Lausanne, Sw
  • Kutalik Z; Department of Genetic Epidemiology, University of Regensburg, D-93053 Regensburg, Germany, Department of Medical Genetics, University of Lausanne, CH-1005 Lausanne, Switzerland, Institute of Social and Preventive Medicine (IUMSP), Centre Hospitalier Universitaire Vaudois (CHUV), CH-1010 Lausanne, Sw
  • Gorski M; Department of Genetic Epidemiology, University of Regensburg, D-93053 Regensburg, Germany, Department of Medical Genetics, University of Lausanne, CH-1005 Lausanne, Switzerland, Institute of Social and Preventive Medicine (IUMSP), Centre Hospitalier Universitaire Vaudois (CHUV), CH-1010 Lausanne, Sw
  • Lottaz C; Department of Genetic Epidemiology, University of Regensburg, D-93053 Regensburg, Germany, Department of Medical Genetics, University of Lausanne, CH-1005 Lausanne, Switzerland, Institute of Social and Preventive Medicine (IUMSP), Centre Hospitalier Universitaire Vaudois (CHUV), CH-1010 Lausanne, Sw
  • Kronenberg F; Department of Genetic Epidemiology, University of Regensburg, D-93053 Regensburg, Germany, Department of Medical Genetics, University of Lausanne, CH-1005 Lausanne, Switzerland, Institute of Social and Preventive Medicine (IUMSP), Centre Hospitalier Universitaire Vaudois (CHUV), CH-1010 Lausanne, Sw
  • Heid IM; Department of Genetic Epidemiology, University of Regensburg, D-93053 Regensburg, Germany, Department of Medical Genetics, University of Lausanne, CH-1005 Lausanne, Switzerland, Institute of Social and Preventive Medicine (IUMSP), Centre Hospitalier Universitaire Vaudois (CHUV), CH-1010 Lausanne, Sw
Bioinformatics ; 31(2): 259-61, 2015 Jan 15.
Article en En | MEDLINE | ID: mdl-25260699
ABSTRACT
UNLABELLED The R package EasyStrata facilitates the evaluation and visualization of stratified genome-wide association meta-analyses (GWAMAs) results. It provides (i) statistical methods to test and account for between-strata difference as a means to tackle gene-strata interaction effects and (ii) extended graphical features tailored for stratified GWAMA results. The software provides further features also suitable for general GWAMAs including functions to annotate, exclude or highlight specific loci in plots or to extract independent subsets of loci from genome-wide datasets. It is freely available and includes a user-friendly scripting interface that simplifies data handling and allows for combining statistical and graphical functions in a flexible fashion.

AVAILABILITY:

EasyStrata is available for free (under the GNU General Public License v3) from our Web site www.genepi-regensburg.de/easystrata and from the CRAN R package repository cran.r-project.org/web/packages/EasyStrata/. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Gráficos por Computador / Programas Informáticos / Genoma Humano / Metaanálisis como Asunto / Biología Computacional / Estudio de Asociación del Genoma Completo Tipo de estudio: Risk_factors_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2015 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Gráficos por Computador / Programas Informáticos / Genoma Humano / Metaanálisis como Asunto / Biología Computacional / Estudio de Asociación del Genoma Completo Tipo de estudio: Risk_factors_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2015 Tipo del documento: Article