A new tool for visual analysis of human genome data

Release date: 2014-08-13

Recently, in a research paper published in the internationally renowned journal Nature Methods, researchers from the University of Maryland have developed a new web-based tool that enables researchers to access a large number of high-throughput genomic experiments. Data is quickly compared and analyzed.

A new generation of sequencing technology has revolutionized functional genomics research, the key to understanding the cellular mechanisms of healthy and diseased individuals, and the key to developing a range of diseases such as cancer; The genomic database, a series of graphical interface tools must present information from the genome browser, and the new tool called Epivizr provides a basis for the acquisition of long-lasting genome browser data, which can help scientists integrate some open resources. Analysis software.

Researcher Hector Corrada Bravo said that previous tools have limited the visualization and dissemination of data, and the new tool Epivizr is based on the basic structure of biological conduction, which provides researchers with a new generation of sequencing technologies, such as ChIP. -seq, which is used to analyze the interaction between protein and DNA; RNA-seq, which provides information on a large amount of RNA in cells and methylation analysis of DNA.

In this study, the researchers used the Epivizr tool to visually analyze the DNA methylation and gene expression data of colon cancer patients. The results showed that DNA methylation patterns changed and a series of changes compared to the normal model. The incidence of human malignancies is directly related. The researchers said that we analyzed the colon cancer samples and found a consistent region of DNA methylation changes, and found similar gene expression information in other DNA types in other types of cancer.

Finally, Professor Corrada Bravo said that the development of the new tool Epivizr can help biomedical scientists get a large amount of genomics data and analyze it to develop new therapies for the treatment of human diseases.

Source: Bio Valley

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