Abstract
Visualization of data is important for many data-rich disciplines. In biology, where data sets are becoming larger and more complex, grephical analysis is felt to be ever more pertinent. Although some patterns and trends in data sets may only be determined by sophisticated computional 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 graghical software tools for comparative genome analysis is given, showing that a range of simple tools can provide us with powerful view of the differences and similarities between genome.
Highlights
In Alice's Adventures in Wonderland [1] Lewis Carroll wrote: `What is the use of a book', thought Alice, `without pictures or conversations?'
The ability to link an interactive graphical tool to a data source such as a database and to access that tool within a World Wide Web (WWW) browser has opened up data analysis of biological information to a wider audience
Different versions of the Oxford Grid have arisen, notably a Java prototype developed in 1997 by the USDA Agricultural Genome Information Server (AGIS) group [5], to compare the genomes of crop plants, and a version written by the Jackson Laboratory [6] in Bar Harbor, Maine, to compare their mouse data with that of human
Summary
In Alice's Adventures in Wonderland [1] Lewis Carroll wrote: `What is the use of a book', thought Alice, `without pictures or conversations?'. Unlike many of the ACEDB graphical tools, the comparative mapping displays Different versions of the Oxford Grid have arisen, notably a Java prototype developed in 1997 by the USDA Agricultural Genome Information Server (AGIS) group [5], to compare the genomes of crop plants, and a version written by the Jackson Laboratory [6] in Bar Harbor, Maine, to compare their mouse data with that of human.
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