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Hi,
my name is Frank Schacherer. I work for a bioinformatics company called BIOBASE (www.biobase-international.com), which creates biological databases.
We recently launched a tool to screen ngs variation data, called Genome Trax (see it life here: http://custom.biobase-international....ometrax-chr21/). The tool contains annotation like mutations and binding sites for transcription factors mapped to genome coordinates. You can use it to find if some variants you detected are already known to have a functional impact, or fall in a region that makes this probable.
I would like to invite you to try out the free version of the tool, or get in touch with me if you are interested in accessing the full version for your research. My hope is that we can make the tool more useful for everyone.
Some background about the data included: We manually collect research findings, and organize them neatly in easy-to-search in biological databases. Two of the better known of these databases are TRANSFAC, which collects transcription factor binding sites, and HGMD, which contains all known disease-causing mutations, and disease-related polymorphisms. We also have a database called PROTEOME with functional characteristics for genes and proteins, like diseases, and drug relationships, pathways, and posttranslational modifications.
Friendly greetings
Frank
my name is Frank Schacherer. I work for a bioinformatics company called BIOBASE (www.biobase-international.com), which creates biological databases.
We recently launched a tool to screen ngs variation data, called Genome Trax (see it life here: http://custom.biobase-international....ometrax-chr21/). The tool contains annotation like mutations and binding sites for transcription factors mapped to genome coordinates. You can use it to find if some variants you detected are already known to have a functional impact, or fall in a region that makes this probable.
I would like to invite you to try out the free version of the tool, or get in touch with me if you are interested in accessing the full version for your research. My hope is that we can make the tool more useful for everyone.
Some background about the data included: We manually collect research findings, and organize them neatly in easy-to-search in biological databases. Two of the better known of these databases are TRANSFAC, which collects transcription factor binding sites, and HGMD, which contains all known disease-causing mutations, and disease-related polymorphisms. We also have a database called PROTEOME with functional characteristics for genes and proteins, like diseases, and drug relationships, pathways, and posttranslational modifications.
Friendly greetings
Frank
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