<XML><RECORDS><RECORD><REFERENCE_TYPE>31</REFERENCE_TYPE><REFNUM>8670</REFNUM><AUTHORS><AUTHOR>Jakubowska,J.</AUTHOR><AUTHOR>Hunt,E.</AUTHOR><AUTHOR>Chalmers,M.</AUTHOR><AUTHOR>Dominiczak,A.F.</AUTHOR></AUTHORS><YEAR>2006</YEAR><TITLE>VisGenome - genome visualisation at different levels of detail</TITLE><PLACE_PUBLISHED>3rd International Workshop on Data Integration in the Life Sciences 2006 (DILS'06)</PLACE_PUBLISHED><PUBLISHER>N/A</PUBLISHER><LABEL>Jakubowska:2006:8670</LABEL><ABSTRACT>We surveyed a number of genome visualisation tools and recognize that there is no universal tool which shows all relevant data the geneticists looking for candidate disease genes would like to see. The biological researchers we collaborate with would like to view integrated data from a variety of sources and be able to see both overviews and details. Therefore, we developed a new visualisation tool - VisGenome. <br> VisGenome visualises single and comparative representations of the rat, the mouse, and the human chromosomes, and can easily be used for other genomes. Currently, the application loads any data types specified by a query sent to the Ensembl database, or to a local mirror of RGD which holds additional data. After the users are welcomed with a view of all rat, mouse, and human chromosomes, they select the chromosomes of interest. Then a new view with the chromosome detail is created. VisGenome shows chromosome bands, clones, markers, QTLs, micro array probes, SNPs and genes in a single representation, similar to DerBrowser (citation), but not limited in terms of zooming. In the future we are going to combine VisGenome with the comparative displays from SyntenyVista (add reference). We will allow the users to read the data of the interest not only from Ensembl but also from external file folders or web services. <br> VisGenome offers smooth zooming and panning. The users can keep an area of interest in focus during the zooming process which allows them to keep the context and help not to get lost. The application shows data in natural scaling. In the future we will extend it to use cartoon scaling. We are developing an algorithm which offers different kinds in cartoon scaling. <br></ABSTRACT><URL>http://www2.informatik.hu-berlin.de/dils2006/poster.html#03</URL></RECORD></RECORDS></XML>