One-of-a-kind technical capabilities

After samples are sequenced the resulting data are queried against a database of known organisms to identify what sequencing data belongs to which organism. However there are a lot of microbes that science is still learning about that have yet to be characterized, leaving significant gaps in what we’re able to identify.

To help address this we developed our own database using various techniques and sequencing approaches with the goal of improving the percentage of reads that we’re able to map. This allows us to provide better, more accurate, and more meaningful results to customers as well as for our own research and product development projects, and enables gleaning much more information from each sample.

To demonstrate the results we randomly selected a subset of samples and mapped them onto a standard public database. We then repeated the exercise, combining that same database with our internal database expansion.



The result? We see significant and meaningful improvement in mapped reads for both taxonomy and functional readouts. And we have plenty of additional improvements in the works.

Lastly, there are a lot of steps between receiving sequence data and generating
customer-facing reports and running internal analyses. We have invested in building, streamlining, and automating these analytical pipelines, decreasing the possibility of errors and saving hands-on analytical time.