easyGWAS News
Pristionchus pacificus data available for download

by Dominik Grimm at 2017-02-28 11:53:31.461082+00:00

Data for the study Genomic Profiles of Diversification and Genotype–Phenotype Association in Island Nematode Lineages (McGaughran et. al.) is now available for download in easyGWAS. GWAS can be found here. Genotype data can be downloaded here.

Maintenance & Updates

by Dominik Grimm at 2017-02-06 15:05:34.792887+00:00

easyGWAS will be offline for approximately 1h on the 16th of February, 7p.m. (CET) for maintenance and updates. We are sorry for the inconvenience.

easyGWAS 2.7

by Dominik Grimm at 2016-09-29 21:03:21.243641+00:00

We enhanced our annotation pipeline to provide on the fly annotations from Variant Effect Predictor (VEP) via the Ensembl REST API. The information will be provided in the "Detailed SNP" view, e.g. if you click on a SNP in the Manhattan plot (Read More...).

easyGWAS Published!

by Dominik Grimm at 2016-12-19 08:26:33.834561+00:00

We are happy to announce that easyGWAS got published in The Plant Cell: http://www.plantcell.org/content/early/2016/12/16/tpc.16.00551.abstract.
Thanks to all users for using easyGWAS and helping improving it.
Please cite easyGWAS when using it!

New Study Available!

by Dominik Grimm at 2016-11-21 20:29:35.356768+00:00

We added a new study from Seymour et. al. (2016, PNAS) to easyGWAS about the "genetic architecture of nonadditive inheritance in Arabidopsis thaliana hybrids", including 372 in silico F1 genotypes and 20 phenotypes (Publicly available GWAS).

easyGWAS 2.6

by Dominik Grimm at 2016-09-20 19:25:18.713786+00:00

We just released easyGWAS 2.6.
We added support for importing public phenotypes from AraPheno (https://arapheno.1001genomes.org) into easyGWAS. AraPheno is a central repository for population scale phenotype data for the model plant Arabidopsis thaliana.

Server Move

by Dominik Grimm at 2016-03-23 09:52:59.739439+00:00

easyGWAS moved to a new and more powerful server at the ETH Zürich!
Our URL changed: https://easygwas.ethz.ch

In addition, we installed several small updates.

easyGWAS 2.8

by Dominik Grimm at 2016-10-04 20:39:49.913784+00:00

We added a Representational State Transfer (REST) API to easyGWAS. This allows users to obtain information from easyGWAS in various forms, simply by using URLs. For example to access meta-information for the sample with id 6944: https://easygwas.ethz.ch/rest/sample/public/6944.json

easyGWAS 2.5

by Dominik Grimm at 2016-01-07 15:03:55.513329+00:00

We released easyGWAS version 2.5. This version comes with many new features including a detailed and dynamic SNP view, comparison of computed GWAS with dynamic visualisations as well as the upload of custom gene annotation sets. We also improved the performance and fixed some bugs. Overview of new features..

Server Maintenance

by Dominik Grimm at 2015-04-28 15:06:00.330672+00:00

Our servers will be maintained between the 8th and 12th of May. During this time easyGWAS will not be accessible. We apologise for any inconveniences.

easyGWAS 2.0

by Dominik Grimm at 2014-09-18 13:40:56.018998+00:00

We released easyGWAS 2.0. The new version comes with a completely new design and many new features. With easyGWAS 2.0 users can upload their own private Genotype data as well as private phenotype, covariate or gene annotation data. We completely redesigned and reimplemented our algorithms to provide more speed for even larger datasets. We added Logistic Regression and permutation based algorithms. Further, we added algorithms to perform meta-analysis and already computed GWAS. Users now can upload precomputed summary statistics from other GWAS and run meta-analysis on these summary statistics an/or combine it with other private and public GWAS from easyGWAS.

New Functionalities

by Dominik Grimm at 2013-01-10 15:36:23.943157+00:00

We added some new functionalities to easyGWAS:

  • Users can now export Manhattan plots into PDF files.
  • Additional to summary statistics, user can now download genotypic and phenotypic data for all experiments in PLINK format (new Data Download tab in the result view).
Furthermore we improved the layout and rearranged some menu points.

easyGWAS

by Dominik Grimm at 2012-11-13 15:13:07.294914+00:00

A beta version of easyGWAS is now online. We integrated different datasets for the model organisms Arabidopsis thaliana and Drosophila melanogaster.

NEW BETA VERSION RELEASED

by Dominik Grimm at 2012-11-13 15:15:09.145856+00:00

We are proud to announce a new release of easyGWAS. You now can add covariates and other additional factors (e.g. principle components) to your experiments. Furthermore, download options for data and summary statistics are available supporting various formats (CSV, PLINK, HDF5).

PHENOTYPE EXPLORER

by Dominik Grimm at 2012-11-13 15:13:24.400516+00:00

Statistics and histograms are now provided for phenotypes in the result and the individual phenotype view.