Breakway 0.7.1 – Identify Structural Variations in Genomic Data

Breakway 0.7.1

:: DESCRIPTION

Breakway is a suite of programs that take aligned genomic data and report structural variation breakpoints.

::DEVELOPER

Michael James Clark

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / windows/ MacOsX
  • Perl

:: DOWNLOAD

 Breakway

:: MORE INFORMATION

Citation

Clark MJ, Homer N, O’Connor BD, Chen Z, Eskin A, et al. (2010)
U87MG Decoded: The Genomic Sequence of a Cytogenetically Aberrant Human Cancer Cell Line.
PLoS Genet 6(1): e1000832. doi:10.1371/journal.pgen.1000832

gHKA – Genomic Hudson-Kreitman-Aguade test

gHKA

:: DESCRIPTION

gHKA , msGenomicHKA, is a software for Modified Hudson–Kreitman–Aguadé Test

::DEVELOPER

the INNAN Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/MacOsX
  • C Compiler

:: DOWNLOAD

 gHKA

:: MORE INFORMATION

Citation

Hideki Innan
Modified Hudson–Kreitman–Aguadé Test and Two-Dimensional Evaluation of Neutrality Tests
Genetics July 2006 vol. 173 no. 3 1725-1733

growthpred 1.07 – Prediction of Growth-related Traits in Microbes from Genomic and Metagenomic data

growthpred 1.07

:: DESCRIPTION

growthpred predicts the minimum generation time for a bacterial or archaeal organism based on its codon usage bias intensity (CUB). The CUB index is calculated given two input sets of sequences: 1) highly expressed genes 2) other genes. The application runs 1000 bootstraps and outputs the average and the standard deviation of the predictions.

::DEVELOPER

Microbial evolutionary genomics , Institut Pasteur

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • LinuxMatlab

:: DOWNLOAD

  growthpred

:: MORE INFORMATION

Citation:

Vieira-Silva S, Rocha EPC, 2010
The Systemic Imprint of Growth and Its Uses in Ecological (Meta)Genomics.
PLoS Genet 6(1): e1000808. doi:10.1371/journal.pgen.1000808

GCellIQ 1.0 – Genomic Cell Image Quantitator

GCellIQ 1.0

:: DESCRIPTION

GCellIQ ( Genomic Cell Image Quantitator ) is user-friendly open-source software package that aims to provide an automated pipeline for processing large volumes of digital images generated from high-content screening (HCS), including those by RNAi or small compound screening. It’s suitable for batch processing large image dataset with little human interference.

::DEVELOPER

TMHRI Center for Bioengineering and Informatics

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows / Linux / Mac OsX
  • MATLAB

:: DOWNLOAD

GCellIQ

:: MORE INFORMATION

Citation:

Li F, Zhou X, Zhu J, Ma J, Huang X, et al. (2007)
High content image analysis for human H4 neuroglioma cells exposed to CuO nanoparticles.
Bmc Biotechnology 7: p. 66.

GeneSplicer – Detecting Splice Sites in Eukaryotic Genomic DNA

GeneSplicer

:: DESCRIPTION

GeneSplicer is a fast, flexible system for detecting splice sites in the genomic DNA of various eukaryotes. The system has been trained and tested successfully on Plasmodium falciparum (malaria), Arabidopsis thaliana, human, Drosophila, and rice . Training data sets for human and Arabidopsis thaliana are included.

::DEVELOPER

the Center for Bioinformatics and Computational Biology

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

GeneSplicer

:: MORE INFORMATION

The GeneSplicer software is OSI Certified Open Source Software.

Citation:

Pertea , X. Lin , S. L. Salzberg . GeneSplicer : a new computational method for splice site prediction . Nucleic Acids Res . 2001 Mar 1;29(5):1185-90 .

Correlate 1.03 – Integrative Analysis of 2 Genomic Data Sets

Correlate 1.03

:: DESCRIPTION

Correlate is an Excel plug-in for performing an integrative analysis of two genomic data sets.

If two sets of assays (e.g. gene expression and DNA copy number) have been performed on the same set of patient samples then sparse CCA can be used to find a set of variables in assay 1 that is maximally correlated with a set of variables in assay 2.

::DEVELOPER

Sam Gross / Balasubramanian Narasimhan / Robert Tibshirani /Daniela Witten

:: SCREENSHOTS

:: REQUIREMENTS

:: DOWNLOAD

Correlate

:: MORE INFORMATION

paper: Witten DM, Tibshirani R, and T Hastie (2009) A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. Biostatistics 10(3): 515-534