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B brelocates b viewport of the visualization, and a number of zooming tools can b - bioinformatics o

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The document presents PathCase, an integrated software tool designed for storing, visualizing, querying, and analyzing biochemical pathways. It highlights the importance of biochemical pathways in understanding genomic data and their roles in cellular mechanisms. The latest features of PathCase include a web-based interface for broader accessibility, advanced visualization tools, and enhanced querying capabilities. PathCase supports multiple datasets such as KEGG and BioCyc, allowing users to analyze metabolic pathways at various biological detail levels. The system aims to provide life scientists with a comprehensive environment for systems-level research on cellular actions.

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Which tool is commonly used for molecular visualization in bioinformatics?

Molecular visualization software such as VMD [5], PyMol [70], and UCSF Chimera [88] predominantly use OpenGL for visualizing molecular structures.

What is meant by data visualization?

Data visualization is the representation of data through use of common graphics, such as charts, plots, infographics and even animations. These visual displays of information communicate complex data relationships and data-driven insights in a way that is easy to understand.

What is the basic concept of bioinformatics?

Bioinformatics, as related to genetics and genomics, is a scientific subdiscipline that involves using computer technology to collect, store, analyze and disseminate biological data and information, such as DNA and amino acid sequences or annotations about those sequences.

What is data visualization in bioinformatics?

Biological data visualization is a branch of bioinformatics concerned with the application of computer graphics, scientific visualization, and information visualization to different areas of the life sciences.

What is the main purpose of data visualization?

Clarity, consistency, and context. I think if you can provide these 3 things to your dashboard, youre 95% on your way to a great story with data. This doesnt mean to say these are the only things to worry about - far from it - but, its a good starting point especially for those new to the BI space.