glad – Gene Length Bias Detection in GWAS Datasets

glad

:: DESCRIPTION

glad is a software by randomly generating genomic intervals across the accessible genomic region to estimate the background distribution of P values at the gene level.

::DEVELOPER

Bioinformatics and Systems Medicine Laboratory

:: SCREENSHOTS

n/a

:: REQUIREMENTS

Windows/Linux/MacOsX
Java

:: DOWNLOAD

glad

:: MORE INFORMATION

Citation:

Int J Comput Biol Drug Des. 2010;3(4):297-310. doi: 10.1504/IJCBDD.2010.038394. Epub 2011 Feb 4.
Assessing gene length biases in gene set analysis of Genome-Wide Association Studies.
Jia P1, Tian J, Zhao Z.

GLaD – A Mixed-Membership Model for Heterogenous Tumor Subtype Classification

GLaD

:: DESCRIPTION

GLAD is a mixed-membership classification model that simultaneously learns a sparse biomarker signature for each subtype as well as a distribution over subtypes for each sample.

::DEVELOPER

Flaherty Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Windows/Linux
Python

:: DOWNLOAD

GLaD

:: MORE INFORMATION

Citation

GLAD: A mixed-membership model for heterogeneous tumor subtype classification.
Saddiki H, McAuliffe J, Flaherty P.
Bioinformatics. 2014 Sep 29. pii: btu618.

GLAD 2.50.0 – Gain and Loss Analysis of DNA

GLAD 2.50.0

:: DESCRIPTION

The GLAD algorithms aims at identifying the chromosomal regions with identical DNA copy number, which are delimited by breakpoints.

::DEVELOPER

U900 Institut Curie – INSERM/Mines ParisTech “Bioinformatics and Computational Systems Biology of Cancer

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Linux/ Windows/ MacOsX
R package
Bioconductor

:: DOWNLOAD

GLAD

:: MORE INFORMATION

Citation

Bioinformatics. 2004 Dec 12;20(18):3413-22. Epub 2004 Sep 20.
Analysis of array CGH data: from signal ratio to gain and loss of DNA regions.
Hupé P, Stransky N, Thiery JP, Radvanyi F, Barillot E.