cgmisc 2.9.11 – Enhanced Genome-wide Association Analyses and Visualization

cgmisc 2.9.11

:: DESCRIPTION

cgmisc is an R package that enables enhanced data analysis and visualization of results from GWAS.

::DEVELOPER

Cgmisc Development Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • R

:: DOWNLOAD

 cgmisc

:: MORE INFORMATION

Citation

cgmisc: enhanced genome-wide association analyses and visualization.
Kierczak M, Jabłońska J, Forsberg SK, Bianchi M, Tengvall K, Pettersson M, Scholz V, Meadows JR, Jern P, Carlborg Ö, Lindblad-Toh K.
Bioinformatics. 2015 Aug 6. pii: btv426.

lodGWAS 1.0-7 – Genome-Wide Association Analysis of a Biomarker Accounting for Limit of Detection

lodGWAS 1.0-7

:: DESCRIPTION

lodGWAS is a software package for genome-wide association anal-ysis of biomarkers with a limit of detection.

::DEVELOPER

Ahmad Vaez, Ilja M. Nolte<i.m.nolte at umcg.nl>, Peter J. van der Most

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/Linux/MacOsX
  • R

:: DOWNLOAD

 lodGWAS

:: MORE INFORMATION

Citation

lodGWAS: a software package for genome-wide association anal-ysis of biomarkers with a limit of detection.
Vaez A, van der Most PJ, Prins BP, Snieder H, van den Heuvel E, Alizadeh BZ, Nolte IM.
Bioinformatics. 2016 Jan 22. pii: btw021

ProbABEL 0.5.0 – Genome-wide Association Analysis of Imputed data

ProbABEL 0.5.0

:: DESCRIPTION

ProbABEL is a software package for the analysis of genome-wide imputed SNP data and quantitative, binary, and time-till-event outcomes under linear, logistic, and Cox proportional hazards models, respectively.

::DEVELOPER

ProbABEL team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/ Windows/MacOsX
  • R package
  • C++ Compiler

:: DOWNLOAD

 ProbABEL

:: MORE INFORMATION

Citation

BMC Bioinformatics. 2010 Mar 16;11:134. doi: 10.1186/1471-2105-11-134.
ProbABEL package for genome-wide association analysis of imputed data.
Aulchenko YS, Struchalin MV, van Duijn CM.