Visualizing DNA sequences made easier with new add-on

genomecompiler_logoMany online tools help researchers analyze and manipulate genetic data. Usually, the DNA sequence is first looked up in specialized databases, and copy-pasted into various forms. These tools have been incredibly useful to researchers, but are not visual, not collaborative, and are often very specialized. A number of online platforms now bring together sets of bioinformatic tools for genomic analysis and design. These cloud-based services make it easy to save and share data and results with collaborators. They are also directly connected to large public databases, which makes it easier to import the data you would like to work on. A few are already listed on the list of digital tools for researchers.

  • GenePattern – Genomic analysis platform that provides access to hundreds of genomics tools.
  • GenomeCompiler – Genetic design platform allowing researchers to manipulate and design everything from single genes to entire genomes.
  • InSIlico DB – Genomics made possible for biologists without programming.
  • And many others are not listed here.

These services also made the visual experience more pleasant and allows you to directly interact with the sequences you are working with.  This new way to handle and share genomic data is now taken a step further by GenomeCompiler, which has recently launched a new service called Plasmid Viewer. This free add-on can be embedded into websites that have DNA sequences repositories. This is done rather easily by pointing to a GenBank file url. The viewer then interprets the file and displays the DNA sequences as interactive sequence or circular representations along with annotations.

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Screenshot from displaying their new plasmid viewer add-on

This new tool should help researchers share their genomic data in a more visual and meaningful way, for instance on group websites or scientific blogs. One example of how it can be put into use is this group’s website that has a list of vectors they use for cloning and use the plugin for their visualization. You will also find a demo on the GenomicCompiler.

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