GenomeView N42 – Next-generation Genome Browser and Editor

GenomeView N42

:: DESCRIPTION

GenomeView is a next-generation stand-alone genome browser and editor.It provides interactive visualization of sequences, annotation, multiple alignments, syntenic mappings, short read alignments and more. Many standard file formats are supported and new functionality can be added using a plugin system.

:DEVELOPER

Van de Peer Lab

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows / MacOsX /  Linux
  • Java

:: DOWNLOAD

 GenomeView

:: MORE INFORMATION

Citation

GenomeView: a next-generation genome browser
Thomas Abeel; Thomas Van Parys; Yvan Saeys; James Galagan; Yves Van de Peer
Nucleic Acids Research 2011; doi: 10.1093/nar/gkr995

GenomeBrowse 3.0.0 – Free Genome Browser for Exploring Sequencing Pile-up

GenomeBrowse 3.0.0

:: DESCRIPTION

GenomeBrowse raises the bar on the experience of exploring and finding key insights into your genomic data. Every component has been designed and optimized to give you a user-experience beyond imagination.

::DEVELOPER

Golden Helix, Inc

:: SCREENSHOTS

GenomeBrowse

::REQUIREMENTS

  • Windows/Linux/MacOsX

:: DOWNLOAD

 GenomeBrowse

:: MORE INFORMATION

BQGB 090528 – Berkeley Quantitative Genome Browser

BQGB 090528

:: DESCRIPTION

BQGB (Berkeley Quantitative Genome Browser, sometimes known as “bbrowse”, “bbrowser”) 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!

::DEVELOPER

Berkeley Drosophila Transcription Network Project

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows / MacOsX / Linux
  • QT
  • GCC

:: DOWNLOAD

BQGB

:: MORE INFORMATION

License