Search Results for "cgh"

Diffraction calculations are used in wide-ranging optics fields. We develop a new C++ class library for diffraction and CGH calculations, which is referred as to a CWO++ library, running on a CPU and GPU.

...However, current tools focus on individual gene queries rather than chromosomal and region-based queries more relevant to some researchers. Shiny CGH creates interactive CNV frequency, GISTIC-style and breakage frequency plots from public (or your own) data. Shiny CGH is written in R and Perl and can be deployed online using ShinyApps.io . Shiny CGH is available under the GNU public license (GPL-3). Check the Wiki for details on how to run your own Shiny CGH instance!

Genovar is a JAVA-based stand alone software in order to detect unknown genomic variants, analyze SNP-related copy number variant regions, and comprehensively visualize genomic data such as array CGH and sequence alignments results.

This program allows you to create a transmission hologram using just a computer, a laser-printer, and an overhead transparency. This hologram will behave like one created using a laser and can be projected or viewed with a point source.

CoNoVar: A Copy Number Variation Analyzing System for array CGH Data

vCGH (virtual CGH) is a program that use microarray gene expression data to predict DNA copy number abberation in lymphoma samples.

Ginkgo is a spotted microarray data pre-processing platform featuring analysis functionalities for CGH and expression data. [Pathogen Functional Genomics Resource Center (PFGRC) @ J. Craig Venter Institute (JCVI)]

The purpose of this project is to develop a fast software for CGH image construction

SnoopCGH is a java desktop application for visualising and exploring comparative genomic hybridization (CGH) data.

ArrayFusion recognizes CGH, cDNA and oligonuleotide microarray data from a variety of platforms, and generate converted formats which can be observed and evaluated in several genome browsers.

ArrayCGH DataBase is an effort to distribute Array CGH data between clinical and research groups. It will be platform independent, and will utilize MySQL as it's persistent storage mechanism. A web client may be implemented at some point.