Molgenis-impute: imputation pipeline in a box

[1]  M. Bonder,et al.  Genotype harmonizer: automatic strand alignment and format conversion for genotype data integration , 2014, BMC Research Notes.

[2]  Pieter B. T. Neerincx,et al.  Whole-genome sequence variation, population structure and demographic history of the Dutch population , 2014, Nature Genetics.

[3]  Heorhiy Byelas,et al.  Improved imputation quality of low-frequency and rare variants in European samples using the ‘Genome of The Netherlands' , 2014, European Journal of Human Genetics.

[4]  Ross M. Fraser,et al.  A General Approach for Haplotype Phasing across the Full Spectrum of Relatedness , 2014, PLoS genetics.

[5]  Pieter B. T. Neerincx,et al.  The Genome of the Netherlands: design, and project goals , 2013, European Journal of Human Genetics.

[6]  Carole A. Goble,et al.  The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud , 2013, Nucleic Acids Res..

[7]  Laura J. Bierut,et al.  Assessment of Genotype Imputation Performance Using 1000 Genomes in African American Studies , 2012, PloS one.

[8]  Ian M. Mitchell,et al.  Best Practices for Scientific Computing , 2012, PLoS biology.

[9]  L. H. van den Berg,et al.  Smoking, alcohol consumption, and the risk of amyotrophic lateral sclerosis: a population-based study. , 2012, American journal of epidemiology.

[10]  Tanya M. Teslovich,et al.  The Metabochip, a Custom Genotyping Array for Genetic Studies of Metabolic, Cardiovascular, and Anthropometric Traits , 2012, PLoS genetics.

[11]  J. Marchini,et al.  Fast and accurate genotype imputation in genome-wide association studies through pre-phasing , 2012, Nature Genetics.

[12]  Fuli Yu,et al.  Characterizing linkage disequilibrium and evaluating imputation power of human genomic insertion-deletion polymorphisms , 2012, Genome Biology.

[13]  Albert Hofman,et al.  How to deal with the early GWAS data when imputing and combining different arrays is necessary , 2011, European Journal of Human Genetics.

[14]  Dan M Roden,et al.  A rare variant in MYH6 is associated with high risk of sick sinus syndrome , 2011, Nature Genetics.

[15]  Miguel Ángel Martínez,et al.  Imputation of sequence variants for identification of genetic risks for Parkinson's disease: a meta-analysis of genome-wide association studies , 2011, The Lancet.

[16]  Morris A. Swertz,et al.  Towards a MOLGENIS Based Computational Framework , 2011, 2011 19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing.

[17]  A. Nekrutenko,et al.  Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences , 2010, Genome Biology.

[18]  V. Salomaa,et al.  Excess of rare variants in genes identified by genome-wide association study of hypertriglyceridemia , 2010, Nature Genetics.

[19]  J. Marchini,et al.  Genotype imputation for genome-wide association studies , 2010, Nature Reviews Genetics.

[20]  Michael C. Schatz,et al.  Cloud Computing and the DNA Data Race , 2010, Nature Biotechnology.

[21]  V. Fusaro,et al.  Cloud computing for comparative genomics , 2010, BMC Bioinformatics.

[22]  Jonathan Crabtree,et al.  Ergatis: a web interface and scalable software system for bioinformatics workflows , 2010, Bioinform..

[23]  Tobias A. Knoch,et al.  GRIMP: a web- and grid-based tool for high-speed analysis of large-scale genome-wide association using imputed data , 2009, Bioinform..

[24]  Eric E. Schadt,et al.  Accuracy of genome-wide imputation of untyped markers and impacts on statistical power for association studies , 2009, BMC Genetics.

[25]  P. Donnelly,et al.  A Flexible and Accurate Genotype Imputation Method for the Next Generation of Genome-Wide Association Studies , 2009, PLoS genetics.

[26]  B. Browning,et al.  A unified approach to genotype imputation and haplotype-phase inference for large data sets of trios and unrelated individuals. , 2009, American journal of human genetics.

[27]  Hong-Wen Deng,et al.  Analyses and Comparison of Accuracy of Different Genotype Imputation Methods , 2008, PloS one.

[28]  E. Kuipers,et al.  The Rotterdam Study: 2010 objectives and design update , 2007, European Journal of Epidemiology.

[29]  Manuel A. R. Ferreira,et al.  PLINK: a tool set for whole-genome association and population-based linkage analyses. , 2007, American journal of human genetics.

[30]  P. Donnelly,et al.  A new multipoint method for genome-wide association studies by imputation of genotypes , 2007, Nature Genetics.

[31]  Garrick Staples,et al.  TORQUE resource manager , 2006, SC.

[32]  Barbara Horner-Miller,et al.  Proceedings of the 2006 ACM/IEEE conference on Supercomputing , 2006 .

[33]  Carole A. Goble,et al.  myGrid: personalised bioinformatics on the information grid , 2003, ISMB.

[34]  G. Willemsen,et al.  Netherlands Twin Register: A Focus on Longitudinal Research , 2002, Twin Research.

[35]  Morris A. Swertz,et al.  Scaling Bio-Analyses from Computational Clusters to Grids , 2013, IWSG.

[36]  Meike W. Vernooij,et al.  The Rotterdam Study: 2014 objectives and design update , 2013, European Journal of Epidemiology.

[37]  Li Shen,et al.  The effect of reference panels and software tools on genotype imputation. , 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.

[38]  D. Postma,et al.  Universal risk factors for multifactorial diseases , 2007, European Journal of Epidemiology.

[39]  Marian Beekman,et al.  Evidence of genetic enrichment for exceptional survival using a family approach: the Leiden Longevity Study , 2006, European Journal of Human Genetics.

[40]  Jarek Nabrzyski,et al.  Grid Resource Management , 2004 .

[41]  John L. Furlani.  Modules : Providing a Flexible User Environment , 1991 .