The tracks that are listed here contain genetic variants and links to scientific publications that mention them.

• The Mastermind track was created by Genomenon, a company that analyzes fulltext of publications with their own proprietary software with an unknown false positive rate.
• The VarChat track was created by enGenome and links to its proprietary software, VarChat, with an unknown false positive rate.
• The AVADA track was created in the Bejerano lab at Stanford by J. Birgmeier also on fulltext papers, using sophisticated machine learning methods and was evaluated to have a false positive rate of around 50% in their study.
• The PubTator rsIDs track was created using PubTator 3 data.
• Varaico was created using literature mining in a fashion similar to AVADA. Coloring is a gradient between blue and red, and represent the number of publications per variant. See the Varaico website for more details.

For additional information please click on the hyperlink of the respective track above.

To view the full description, click here.