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Graphical tools for comparative genome analysis
Author(s) -
Dicks Jo
Publication year - 2000
Publication title -
yeast
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.923
H-Index - 102
eISSN - 1097-0061
pISSN - 0749-503X
DOI - 10.1002/(sici)1097-0061(200004)17:1<6::aid-yea15>3.0.co;2-v
Subject(s) - visualization , data visualization , data science , biology , software , genome , data exploration , computer science , computational biology , data mining , genetics , programming language , gene
Visualization of data is important for many data‐rich disciplines. In biology, where data sets are becoming larger and more complex, graphical analysis is felt to be ever more pertinent. Although some patterns and trends in data sets may only be determined by sophisticated computational analysis, viewing data by eye can provide us with an extraordinary amount of information in an instant. Recent advances in bioinformatic technologies allow us to link graphical tools to data sources with ease, so we can visualize our data sets dynamically. Here, an overview of graphical software tools for comparative genome analysis is given, showing that a range of simple tools can provide us with a powerful view of the differences and similarities between genomes. Copyright © 2000 John Wiley & Sons, Ltd.