BBrowserBerkeley Quantitative Genome Browser | |
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BBrowser Ranking & Summary
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- License:
- Freeware
- Publisher Name:
- Michael Eisen
- Operating Systems:
- Windows All
- File Size:
- 5.3 MB
BBrowser Tags
- Browser explorer Berkeley Internet Name Domain Genome Browser Annotate Genome Visualize Genome Genome file hider search genome sequence genome sequence searcher find genome sequence analyze genome genome analysis genome analyzer view multiple genome multiple genome viewer search genome genome analysis suite quantitative proteomics compare virus genome genome sequence viewer display genome sequence view genome data genome data viewer browse genome view genome close related genome genome language prokaryotic genome Arabidopsis genome analysis view Arabidopsis genome analyze Arabidopsis genome analyze bacterial genome Genome visualization Genome Viewer UCSC genome bioinformatics genome-wide association genome circular visualization quantitative proteomic compare genome sequence genome comparison analyzer genome sequence UCSC genome browser track manage genome track genome track manager analyze human Genome Genome Calculator view genome file genome mapping genome map visualization genome hybridisation array display genome data human genome analysis human genome Genome Scanner bacterial genome sequence Genome Explorer Quantitative Genome microbial genome genome comparison quantitative characterize genome genome characterization Genome Positioning System genome rate view bacterial genome bacterial genome visualization quantitative analysis file explore data entry speed apps bolt browser opera mine browser Symbian 8 mccormick place cad apple ipod a1204 mpg ts editor speed math tricks gshellpack1.5 upload by ashampoo video editor
BBrowser Description
The name BBrowser stands for Berkeley Quantitative Genome Browser. BQGB duplicates much of the annotation display functionality typical of a genome browser but with an emphasis on custom and quantitative data such as that produced in high throughput sequencing and genome-wide association studies. The application runs locally on a user's desktop or laptop computer, avoiding the slow back-and-forth of web based genome browsers. BQGB expects data files to be local to the application process and in a file format such as GFF, BED, SGR, WIG, FASTA or any column delimited format that provides sequence and base pair position locations. This topography should generally be faster than that of a central remote database plus web based browser when working with many custom files, ie. downloading a single reference annotation to one's local machine is quicker than uploading hundreds of custom data files to a remote server! Browsing needs are varied and no one visualization tool should be expected to provide insight into the diverse phenomena of molecular genetics, from highly localized SNPs, to near and far cis-regulatory elements, to distant trans relationships that may even span highly diverged species. Beyond the visualizations packaged with BQGB, the application provides an open-source API intended to ease the on-going development work that addresses the evolving visualization and exploration needs of molecular genetic inquiry.
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