A: We have a quantification step that helps. You may see some variability when first trying, but then you dial it in. We also accept a fairly high range for the density.
A: It is a random flow cell.
A: Our data is generated from 2x150 for this talk. You can of course go shorter.
A: We have a long list of library types through a broad ecosystem of partners — whole human genome, RNA, single cell, exomes, panels, and more.
A: We want to lead with a quality, while offering a cost-effective benchtop solution. You can do runs in your own lab with full flexibility and you don’t have to send out to get the economies of scale.
A: The sequencer is $289,000 and a 2x150 kit is $1,680 (sequencing reagents and flowcell).
A: There is minimal filtering. If a feature has low quality in early cycles, we filter it. In general, we filter 5% of our data or less, and the rest goes into the FASTQ file that you download. There’s no other manipulation beyond those early cycles of R1 and R2, with the exception of optional adapter trimming.
A: The errors seem mostly random. Since we are fairly early in our review it’s something that we’re still looking into.
A: We require high diversity in the first few cycles of Read-1 so we can find where all the features are. Beyond that, we have a quite robust low diversity pipeline that handles the type of challenges that low diversity presents.
A: Yes, we have, and they seem to work pretty well, though density is somewhat reduced. We would love to partner with someone to optimize performance on these libraries.
A: Just under 48 hours.
A: Yes, we support dual indices and support two types of library prep. If you have your own linear library, we will take it and apply our compatibility kit and then run it with however many indices you have. If you use our Elevate library, then we have unique dual indices for 96 plex and many more if you do not need UDI.
A: Although our amplification methodology does not appear to lead to index hopping, they may be considered for other reasons. For example, if your index plate is all synthesized together, you can have oligo contamination — leading to index misassignment. This is something that we’re currently exploring.
A: We are seeing very low duplicate rates. Typically sub 1%.