CONTOUR v2 – Cancer (Onco) geNes from disrupTed mOdUles and their Relationships

CONTOUR v2

:: DESCRIPTION

CONTOUR is a systematic tracking of dysregulated modules identifies novel genes in cancer

::DEVELOPER

CONTOUR team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • C/C++ Compiler

:: DOWNLOAD

 CONTOUR

:: MORE INFORMATION

Citation

Srihari S & Ragan MA (2013)
Systematic tracking of dysregulated modules identifies novel genes in cancer,
Bioinformatics 29(12):1553–1561. doi: 10.1093/bioinformatics/btt191

PhyloMap 2.2.1 – Visualizing Relationships of large Sequence data sets to the influenza A virus genome

PhyloMap 2.2.1

:: DESCRIPTION

The PhyloMap can generate elegant visualizations for large sequence data sets up to thousands of taxon require only a relatively short computation time. It can give you an overview of your entire data set, and automatically select a small number of sequences which are evenly sampled across your data set. You can build a phylogenetic tree using the sampling sequences and use it as a reference data set for further studies. The PhyloMap also shows you the relationships between the sampled data set with the entire data set.

::DEVELOPER

Jiajie Zhang (zhangjiajie@biochem.uni-luebeck.de)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows/ MacOsX
  • Java

:: DOWNLOAD

 PhyloMap

:: MORE INFORMATION

Citation

BMC Bioinformatics. 2011 Jun 20;12:248. doi: 10.1186/1471-2105-12-248.
PhyloMap: an algorithm for visualizing relationships of large sequence data sets and its application to the influenza A virus genome.
Zhang J1, Mamlouk AM, Martinetz T, Chang S, Wang J, Hilgenfeld R.

SIMLAPLOT 1.0 – Visualize Genotype and Phenotype Relationship

SIMLAPLOT 1.0

:: DESCRIPTION

SIMLAPLOT is a software for visualizing different ways in which continuous covariates may influence the genotype-specific risk for complex human diseases. The purpose of our study was to examine continuous covariates in the Genetic Analysis Workshop 15 simulated data set using our novel graphical display tool, with knowledge of the answers. The generated plots provide information about genetic models for the simulated continuous covariates and may help identify the single-nucleotide polymorphisms associated with the underlying quantitative trait loci.

::DEVELOPER

Duke Molecular Physiology Institute

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 SIMLAPLOT

:: MORE INFORMATION

Citation

Xuejun Qin,et al
Visualizing genotype × phenotype relationships in the GAW15 simulated data
BMC Proc. 2007; 1(Suppl 1): S132.

GNC 1.3 – Gene Network Coherence with direct and indirect Relationships

GNC 1.3

:: DESCRIPTION

GNC is a Java-based software tool for analyzing gene networks coherence using direct and indirect relationships.

::DEVELOPER

GNC team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/ Windows
  • Java

:: DOWNLOAD

 GNC

:: MORE INFORMATION

Citation:

Gene network coherence based on prior knowledge using direct and indirect relationships.
Gómez-Vela F, Lagares JA, Díaz-Díaz N.
Comput Biol Chem. 2015 Jun;56:142-51. doi: 10.1016/j.compbiolchem.2015.03.002.

RelCheck 0.67 – Verify Relationships between all pairs of Individuals

RelCheck 0.67

:: DESCRIPTION

RelCheck is a software for verifying relationships between all pairs of individuals in a linkage study

::DEVELOPER

Karl W Broman

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 RelCheck

:: MORE INFORMATION

Citation

Broman, Weber (1998),
Estimation of pairwise relationships in the presence of genotyping errors” (letter),
American Journal of Human Genetics, 63(5):1563-1564.

RelativeFinder 20100813 – Check Relationships between pairs of Individuals

RelativeFinder 20100813

:: DESCRIPTION

relativeFinder is a program for checking relationships between pairs of individuals. There are many excellent programs that carry out similar tasks. Some of the unique features in relativeFinder are the batch mode options, that allow large jobs to be divided into many smaller jobs (suitable for deployment on a compute cluster environment), and the flexibility of the underlying Merlin engine, which allows relative finder to handle large pedigrees and consider a variety of alternate relationships — including potential relationships specified by the user on the fly!

::DEVELOPER

Abecasis Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 RelativeFinder

:: MORE INFORMATION

ML-Relate 20080422 – Estimating Relatedness or Relationship from Genetic data

ML-Relate 20080422

:: DESCRIPTION

ML-Relate is a computer program that calculates maximum likelihood estimates of relatedness and relationship. ML-Relate is designed for microsatellite data, and can accommodate null alleles. It uses simulation to perform two types of hypothesis tests.

::DEVELOPER

Steven Kalinowski, Ph.D.

:: SCREENSHOTS

N/A

::REQUIREMENTS

:: DOWNLOAD

  ML-Relate

:: MORE INFORMATION

Citation

Kalinowski ST, AP Wagner, ML Taper (2006).
ML-Relate: a computer program for maximum likelihood estimation of relatedness and relationship.
Molecular Ecology Notes 6:576-579.

CompClust 1.2 – Explore and Quantify Relationships between Clustering Results

CompClust 1.2

:: DESCRIPTION

CompClust is a python package written using the pyMLX and IPlot APIs. It provides software tools to explore and quantify relationships between clustering results. Its development has been largely built around needs of microarray data analysis but could be easily used in other domains.

::DEVELOPER

the Wold Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 CompClust

:: MORE INFORMATION

Citation:

Nucleic Acids Res. 2005 May 10;33(8):2580-94. Print 2005.
A mathematical and computational framework for quantitative comparison and integration of large-scale gene expression data.
Hart CE, Sharenbroich L, Bornstein BJ, Trout D, King B, Mjolsness E, Wold BJ.

RELPAIR 2.0.1 – Relationship of Pairs of Individuals based on Genetic Marker Data

RELPAIR 2.0.1

:: DESCRIPTION

RELPAIR  is a FORTRAN 77 program that infers the relationships of pairs of individuals based on genetic marker data, either within families or across an entire sample.

::DEVELOPER

the Center for Statistical Genetics

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Mac OsX / Windows
  • FORTRAN

:: DOWNLOAD

 RELPAIR

:: MORE INFORMATION

Citation

Epstein, M.P., Duren, W.L., and Boehnke, M. (2000)
Improved inference of relationships for pairs of individuals.
American Journal of Human Genetics 67:1219-1231.