Ginkgo 4.0.0 – Phylogeographical Evolution Simulator

Ginkgo 4.0.0

:: DESCRIPTION

Ginkgo is a agent-based forward-time simulation to produce gene genealogies and incidence (occurrence) data for multiple populations of multiple species in a spatially-explicit and environmentally-heterogenous framework.

::DEVELOPER

The Holder Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Mac OsX / Windows

:: DOWNLOAD

Ginkgo

:: MORE INFORMATION

Citation:

Mol Ecol Resour. 2011 Mar;11(2):364-9. doi: 10.1111/j.1755-0998.2010.02926.x. Epub 2010 Nov 10.
Ginkgo: spatially-explicit simulator of complex phylogeographic histories.
Sukumaran J, Holder MT.

Ginkgo – Cloud-based Single-cell Copy-number Variation Analysis tool

Ginkgo

:: DESCRIPTION

Ginkgo is a user-friendly, open-source web platform for the analysis of single-cell copy-number variations (CNVs).

::DEVELOPER

Robert Aboukhalil

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Linux

:: DOWNLOAD

Ginkgo

:: MORE INFORMATION

Citation

Interactive analysis and assessment of single-cell copy-number variations.
Garvin T, Aboukhalil R, Kendall J, Baslan T, Atwal GS, Hicks J, Wigler M, Schatz MC.
Nat Methods. 2015 Nov;12(11):1058-60. doi: 10.1038/nmeth.3578.

Ginkgo 1.01 – CGH & Expression Microarray Data Analysis & Normalization

Ginkgo 1.01

:: DESCRIPTION

Ginkgo is a spotted microarray data pre-processing platform featuring analysis functionalities for CGH (Comparative Genomic Hybridization) and expression data. This application provides a user-friendly graphical interface that allows viewing, analyzing, generating and reporting microarray data, easily and intuitively. Within the software there are a number of algorithms to address microarray data analysis needs, including normalization, filtering, data imputation, replicates merge, and expression statistical distribution tests.

::DEVELOPER

J. Craig Venter Institute

:: SCREENSHOTS

:: REQUIREMENTS

Linux / Windows
JAVA

:: DOWNLOAD

Ginkgo

:: MORE INFORMATION

This application is released under the GPL v3 License: View License

Citation:

Quackenbush, J. Microarray data normalization and transformation. Nature Genetics. Vol.32 supplement pp496-501 (2002).