bilinear.fit 0.1 – Preform Bilinear Regression Fits to 16O/18O Isotope Labeling

bilinear.fit 0.1

:: DESCRIPTION

bilinear.fit is a suite of S-PLUS routines for preforming bilinear regression fits to 16O/18O isotope labeling of experiments
::DEVELOPER

Division of Biomedical Statistics and Informatics,  Mayo Clinic

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux / MacOS
  • S Plus

:: DOWNLOAD

   bilinear.fit

:: MORE INFORMATION

SCANSTAT – Scan Statistics for Disease Gene Association of a set of Contiguous SNPs

SCANSTAT

:: DESCRIPTION

SCANSTAT considers a number of marker loci in the genome. At each marker, genotypes are available for two types of observations

::DEVELOPER

Jurg Ott, Ph.D.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux

:: DOWNLOAD

 SCANSTAT

:: MORE INFORMATION

Citation

Scan statistics to scan markers for susceptibility genes.
Hoh J, Ott J.
Proc Natl Acad Sci U S A. 2000 Aug 15;97(17):9615-7.

TLINKAGE 20 – Two-locus Linkage Analysis

TLINKAGE 20

:: DESCRIPTION

The Tlinkage programs described here are an extension of the general LINKAGE programs for genetic linkage analysis. The extension consists of allowing for a disease phenotype to be under the control of two loci. The current version (20 Apr 2007) corrected a bug that had an effect only with relatively large numbers of alleles at the marker loci.

::DEVELOPER

Jurg Ott, Ph.D.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows

:: DOWNLOAD

 TLINKAGE

:: MORE INFORMATION

Citation

Schork NJ, Boehnke M, Terwilliger JD, Ott J (1993)
Two trait locus linkage analysis: a powerful strategy for mapping complex genetic traits.
Am J Hum Genet 53, 1127-1136

HAPPY – Haplotype Scoring for Generalized Linear Modeling and Haplotype-Disease Association Tests

HAPPY

:: DESCRIPTION

HAPPY estimates haplotype-specific odds ratios from genotype data on unrelated cases and controls using unconditional logistic regression. It can adjust for the main effects of relevant covariates and estimate stratum-specific haplotype effects.

::DEVELOPER

Peter Kraft

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux /  MacOsX/ Windowsjava
  • SAS

:: DOWNLOAD

 HAPPY

:: MORE INFORMATION

Citation

Genet Epidemiol. 2005 Apr;28(3):261-72.
Accounting for haplotype uncertainty in matched association studies: a comparison of simple and flexible techniques.
Kraft P, Cox DG, Paynter RA, Hunter D, De Vivo I.

GECOR – Power for Gene-Environment Interaction Tests in Matched Case-Control Association Studies

GECOR

:: DESCRIPTION

GECOR is a software for calculating sample sizes in matched case-control studies examining genetic and environmental factors,and/or gene-environment interaction. It allows for sample size calculations for the main effects of geneand/or environment, as well as gene-environment interaction.

::DEVELOPER

Peter Kraft

:: SCREENSHOTS

GECOR

:: REQUIREMENTS

  • Linux /  MacOsX/ Windows
  • java
  • R package

:: DOWNLOAD

 GECOR

:: MORE INFORMATION

PowerGxE – Power Calculations for Genetic Association Tests Exploiting Gene-environment Interaction

PowerGxE

:: DESCRIPTION

PowerGxE is a SAS Macro for power calculations for genetic association tests exploiting gene-environment interaction

::DEVELOPER

Peter Kraft

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux /  MacOsX/ Windows
  • SAS

:: DOWNLOAD

 PowerGxE

:: MORE INFORMATION

Citation:

Hum Hered. 2007;63(2):111-9. Epub 2007 Feb 2.
Exploiting gene-environment interaction to detect genetic associations.
Kraft P, Yen YC, Stram DO, Morrison J, Gauderman WJ.

GEmis – Power Calculations for Gene-Environment Tests Incorporating Misclassified Exposures

GEmis

:: DESCRIPTION

GEmis (Gene-Environment Dependence and Misclassification) is a software of power calculations for gene-environment tests incorporating misclassified exposures

::DEVELOPER

Peter Kraft

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux /  MacOsX/ Windows
  • SAS

:: DOWNLOAD

  GEmis

:: MORE INFORMATION

Citation:

Hum Hered. 2009;68(3):171-81. doi: 10.1159/000224637. Epub 2009 Jun 11.
The impact of gene-environment dependence and misclassification in genetic association studies incorporating gene-environment interactions.
Lindström S, Yen YC, Spiegelman D, Kraft P.

SUMSTAT / SumstatQ – Sum Statistics for multi-locus Genetic Association Mapping

SUMSTAT / SumstatQ

:: DESCRIPTION

SUMSTAT considers a number of marker loci in the genome. At each marker, genotypes are available for two types of observations

sumstatQ represents a modification of the sumstat program in that it works with quantitative phenotypes (QTLs) rather than case-control type data. The datafile structure is the same as for sumstat but after the input lines containing genotype data, one or more QTLs can be present, one per input line for each individual.

::DEVELOPER

Jurg Ott, Ph.D.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux

:: DOWNLOAD

 SUMSTAT / SumstatQ 

:: MORE INFORMATION

Citation

Ott J, Hoh J (2012)
Scan statistics in human gene mapping.
Am J Hum Genet 91, 970 (letter)

AutocorQ – Characterise and Test the Spatial Autocorrelation of Quantitative Traits

AutocorQ

:: DESCRIPTION

AutocorQ is a simple software to characterise and test the spatial autocorrelation of quantitative traits. It computes Moran’s I statistics, can provide pairwise autocorrelation coefficient between individuals, and computes the slope of the linear regression of these coefficients on the spatial distance or its logarithm. The significance of the coefficients is assessed by random permutation tests.

::DEVELOPER

Olivier Hardy @ Evolutionary Biology & Ecology, Université Libre de Bruxelles

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows

:: DOWNLOAD

  AutocorQ

:: MORE INFORMATION

BiodivR 1.2 – Compute Statistically Unbiased Indices of Species Diversity

BiodivR 1.2

:: DESCRIPTION

BiodivR is designed to characterise species diversity within samples as well as species similarity between samples using sub-sampling (rarefaction) procedures. The statistics proposed account for the non-exhaustive sampling of species to get estimates unbiased with respect to the sizes (numbers of individuals recorded) of the samples.

::DEVELOPER

Evolutionary Biology & Ecology, Université Libre de Bruxelles

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows

:: DOWNLOAD

   BiodivR

:: MORE INFORMATION