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GiTools 2.2.2 freeware
... to enable you to visualize and analyze genomic data. Data and results are represented as browsable heatmaps. Gitools allows to import data directly from IntOGen and Biomart. ...
Author | Biomedical Genomic Laboratory |
Released | 2014-10-21 |
Filesize | 26.20 MB |
Downloads | 620 |
OS | Windows XP, Windows Vista, Windows Vista x64, Windows 7, Windows 7 x64, Windows 8, Windows 8 x64 |
Installation | Instal And Uninstall |
Keywords | genomic data analysis, genomic data visualization, analyze genomic data, genome, genomic data, analyze |
Users' rating (4 rating) |
GiTools Free Download - we do not host any GiTools torrent files or links of GiTools on rapidshare.com, depositfiles.com, megaupload.com etc. All GiTools download links are direct GiTools download from publisher site or their selected mirrors.
2.2.2 | Oct 21, 2014 | New Release | Preliminary mutex analysis Bugfix: Excel import Bugfix: integer clustering Bugfix: Numeric header sorting |
2.2.1 | Jul 17, 2014 | New Release | The new version of Gitools contains many internal changes and improvements for usability and analyses. Below we list the new main features which we will try to explain in more detail in upcoming posts. File import: Any flat text file containing values may now be imported to Gitools. Data integration: Via file import it is possible to load new data layers on an existing heatmap. You have a heatmap with methylation values and now the mutations have come in? Just load them as an additional value for each cell. Group Comparisons may now be done much more easily and for a series of groups at once. Group by annotations, values or without constraints and check for differences between two groups of samples. Bookmarks: Gitools heatmaps can now be bookmarked. Save a constellation of visible rows and columns in their order and the value being viewed. |
2.1.0 | Mar 10, 2014 | New Release | The new version of Gitools contains many internal changes and improvements for usability and analyses. Below we list the new main features which we will try to explain in more detail in upcoming posts. File import: Any flat text file containing values may now be imported to Gitools. Data integration: Via file import it is possible to load new data layers on an existing heatmap. You have a heatmap with methylation values and now the mutations have come in? Just load them as an additional value for each cell. Group Comparisons may now be done much more easily and for a series of groups at once. Group by annotations, values or without constraints and check for differences between two groups of samples. Bookmarks: Gitools heatmaps can now be bookmarked. Save a constellation of visible rows and columns in their order and the value being viewed. |