The mission of the GenABEL project is to provide a free framework for collaborative, robust, transparent, open-source based development of statistical genomics methodology. We aim to streamline methodology discussion, development, implementation, dissemination and maintenance; through the community.

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CollapsABEL: a new member of the GenABEL suite

Several days ago the paper CollapsABEL: an R library for detecting compound heterozygote alleles in genome-wide association studies was published in BMC Bioinformatics. Following this publication the GenABEL team is happy to announce the inclusion of CollapsABEL in the GenABEL suite.
(Please click on "read more", below, for more details.)

RepeatABEL included in the GenABEL suite

With pleasure we announce the inclusion of RepeatABEL to the GenABEL suite. RepeatABEL is a tool for genome-wide association study for multiple observations on related individuals and has been developed by Lars Rönnegård.

(Please click on "read more", below, for more details.)

Development of ProbABEL and filevector moved to Github

Like OmicABEL before them, the development efforts of ProbABEL and the filevector support library have moved from R-forge to Github. The Github page for ProbABEL can be found here and filevector's Github page is located here.

(Please click on "read more", below, for more details.)

Development of OmicABEL moved to Github

As of today the development efforts for OmicABEL have moved to Github. With this move we aim to make the development process smoother and more up-to-date with current standards. Moreover, the use of "social coding" using Git and Github fits well in the open and collaborative strategy of the GenABEL project.

(Please click on "read more", below, for more details.)

The GenABEL tutorial receives a DOI

Today we uploaded the current version of the GenABEL tutorial PDF to www.zenodo.org. As a result, the tutorial has been given a DOI (10.5281/zenodo.19738), which is a unique, citable reference to the document. From now on, the tutorial page of this website will point to the DOI.

At the same time we also registered a Zenodo community called "The GenABEL project". Please mention this community if you upload any material related to the GenABEL project to Zenodo.

(Please click on "read more", below, for more details.)

ProbABEL v0.4.5 released

The ProbABEL development team is happy to announce the release of ProbABEL v0.4.5. This release is a bugfix update. People using the Cox Proportional Hazards regression module are strongly advised to upgrade.

(Please click on "read more", below, for more details.)

DatABEL v.0.9-6 published on CRAN

We are pleased to announce that a minor update to the DatABEL package has been publised on CRAN today. DatABEL v.0.9-6 contains some minor changes and one bug fix.
(Please click on "read more", below, for more details.)

ProbABEL v0.4.4 released

The ProbABEL development team is happy to announce the release of ProbABEL v0.4.4. This release is a bugfix update. People using the Cox Proportional Hazards regression module are strongly advised to upgrade.
(Please click on "read more", below, for more details.)

DatABEL v.0.9-5 published on CRAN

A new version of DatABEL has just been published on CRAN.

The most important changes in DatABEL v0.9-5 are two fixed bugs:
- Fixed bug #5793: impute2DatABEL gives several errors
- Fixed bug #1126: Using mach2databel() or impute2mach() to convert files to the filevector format leaves fvtmp files behind

More open than ever: the source code, the manuscript, the review

Last week, the manuscript describing algorithms and implementation of the OmicABEL package became available online via f1000research, and was assigned doi:10.12688/f1000research.4867.1. Publishing in f1000research - "The first Open Science journal for life scientists" - is a natural step for the GenABEL project, which practices open source/methods/science ideology. In f1000research, manuscripts are published immediately, followed by post-publication open (non-anonymous) review. If two reviewers approve the manuscript, it is then indexed in PubMed, Scopus and Web-Of-Science. [Please click on 'READ MORE' below for complete story]

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