Visualizing genome and systems biology: technologies, tools, implementation techniques and trends, past, present and
Georgios A Pavlopoulos1, Dimitris Malliarakis2, Nikolas Papanikolaou1
1Bioinformatics & Computational Biology Laboratory, Division of Basic Sciences, University of Crete, Medical School, 70013 Heraklion, Crete Greece.
Gigascience
|August 27, 2015
Summary
Effective visualization is crucial for understanding complex life science datasets. This review explores genomic and systems biology visualization tools, focusing on new methods and future trends for enhanced data comprehension.
Area of Science:
- Genomics
- Systems Biology
- Bioinformatics
Background:
- Life sciences generate vast, complex datasets due to rapid technological advancements.
- Effective visualization methods are essential for comprehending these large-scale biological data.
Purpose of the Study:
- To review the evolution of genomic and systems biology visualization techniques.
- To highlight current effective visualization tools and programming languages.
- To discuss future trends in human-computer interaction for biological data visualization.
Main Methods:
- Literature review of visualization and analysis tools in genomics and systems biology.
- Focus on recent programming languages and libraries for biological data visualization.
- Exploration of emerging human-computer interaction trends relevant to scientific visualization.
Main Results:
- Overview of historical and current visualization approaches in life sciences.
- Identification of key tools and programming languages facilitating efficient biological data representation.
- Discussion of how advanced human-computer interaction can improve visualization.
Conclusions:
- Visualization is indispensable for navigating complex biological datasets.
- The field is rapidly advancing with new tools and programming languages.
- Future developments in human-computer interaction promise more intuitive and powerful biological data visualization.
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