SNPTools: a software tool for visualization and analysis of microarray data
نویسندگان
چکیده
SUMMARY We have created a software tool, SNPTools, for analysis and visualization of microarray data, mainly SNP array data. The software can analyse and find differences in intensity levels between groups of arrays and identify segments of SNPs (genes, clones), where the intensity levels differ significantly between the groups. In addition, SNPTools can show jointly loss-of-heterozygosity (LOH) data (derived from genotypes) and intensity data for paired samples of tumour and normal arrays. The output graphs can be manipulated in various ways to modify and adjust the layout. A wizard allows options and parameters to be changed easily and graphs replotted. All output can be saved in various formats, and also re-opened in SNPTools for further analysis. For explorative use, SNPTools allows various genome information to be loaded onto the graphs. AVAILABILITY The software, example data sets and tutorials are freely available from http://www.birc.au.dk/snptools
منابع مشابه
تحلیل تصاویر ریزآرایه به منظور تشخیص نوع سرطان سینه
Background: Microarray technology is a powerful tool to study and analyze the behavior of thousands of genes simultaneously. Images of microarray have an important role in the detection and treatment of diseases. The aim of this study is to provide an automatic method for the extraction and analysis of microarray images to detect cancerous diseases. Methods: The proposed system consists of t...
متن کاملتحلیل تصاویر ریزآرایه به منظور تشخیص نوع سرطان سینه
Background: Microarray technology is a powerful tool to study and analyze the behavior of thousands of genes simultaneously. Images of microarray have an important role in the detection and treatment of diseases. The aim of this study is to provide an automatic method for the extraction and analysis of microarray images to detect cancerous diseases. Methods: The proposed system consists of t...
متن کاملInteractive visualization of clusters in microarray data: an efficient tool for improved metabolic analysis of E. coli
BACKGROUND Interpretation of comprehensive DNA microarray data sets is a challenging task for biologists and process engineers where scientific assistance of statistics and bioinformatics is essential. Interdisciplinary cooperation and concerted development of software-tools for simplified and accelerated data analysis and interpretation is the key to overcome the bottleneck in data-analysis wo...
متن کاملA Framework to Analyze Biclustering Results on Microarray Experiments
Microarray technology produces large amounts of information to be manipulated by analysis methods, such as biclustering algorithms, to extract new knowledge. All-purpose multivariate data visualization tools are usually not enough for studying microarray experiments. Additionally, clustering tools do not provide means of simultaneous visualization of all the biclusters obtained. We present an i...
متن کاملMILVA: An interactive tool for the exploration of multidimensional microarray data
MOTIVATION Clustering techniques such as k-means and hierarchical clustering are commonly used to analyze DNA microarray derived gene expression data. However, the interactions between processes underlying the cell activity suggest that the complexity of the microarray data structure may not be fully represented with discrete clustering methods. RESULTS A newly developed software tool called ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Bioinformatics
دوره 23 12 شماره
صفحات -
تاریخ انتشار 2007