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BioRainbow

 

Projects

2005

Continue of analysis of cell-cycle data in the scope of INTAS Grant
We continue alanyzing cell-cycle microarray data homo sapiens. Alanysis goals are to identify regulatory patterns used in each phase of cell-cycle and determine genes, involved in each phase

Continue development of analyzing tool for the gene expression data.
Search of regulation factors depending on gene expression. In cooperation with BIOBASE GmbH

Updating all our tools
We pay big attention to updating and bug fixing of all our tools. Send bugreport

START project.
This new project has aim to create commercial analyser that provide different kinds of regulatory sequences analysis.

2004

Analyzing tool for the gene expression data.
Gene expression data analysis. Search of regulation factors depending on gene expression. In cooperation with BIOBASE GmbH

Analysis of cell-cycle data in the scope of INTAS Grant
We alanyse cell-cycle microarray data for yeast and homo sapiens. Alanysis goals are to identify regulatory patterns used in each phase of cell-cycle and determine genes, involved in each phase

Microarray promoter extractor
A tool for extracting promoters from microarray files.

Method of searching Transcription Factors (TF) binding sites.
New context sencitive method of TF binding sites search.

2003

 

Method of identification of nuclear receptor sites
Nuclear receptors' sites recognition. This method is used for developing drugs that are supposed to cure tumor and some other diseases.

GRESA DT - Environment for promoters analysis applications development
Environment contains sets of classes for creating, testing and comparing different methods of analysis of DNA regulatory sequences.

SNPresearch
Analysis of SNP replacements in DNA regulatory sequences.

2001-2002

Method of searching of composite promoter modules
Application of the genetic algorithm for the searching of composite promoter modules of TF regulating group of genes.

Tool for visualization of the genetic information
Method of representation of large amounts of data for the wide-range analysis.

Phylogenetic footprint method.
TF binding sites' search in DNA sequences with consideration of sequences' similarity.

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