Michael Hunkapiller
Analyst
Well, customers are always asking for more for less. There is no doubt about that. You can do this market analyses all over the place. I think the way that I’ve try to put it before is that if I look at what short read sequencing can do today, what long read sequencing can do today, and extrapolate as the performance changes over time, where can you rationally get to, because we are not going to take over the entire sequencing market. There is too many things you can do with short read technologies in particular, you don't need long reads for, they are just appropriate for it, and things like looking for large studies of self read DNA, they are small pieces anyway, they are 150 base pairs long. Our technology doesn't do much for that, particularly when you are either looking for a needle in a haystack and there is a really big haystack. Are you just trying to count through 25 to 30 base pair reads, which pieces of DNA are coming from which chromosome in the NIPT space, and you also have some RNA quantitation type experiments, where you need to look at millions to billions of pieces of DNA in a single experiment and our technology is not amenable to that. On the other hand as the technology throughput goes up and the cost per genome comes down, and we get to a comparable cost to what you do with short reads at the whole genome level. Situations are a little bit different. And we would say overall that certainly that that certainly likely to be half of the overall sequencing market, which in itself is growing. And our goal long-term is to get to the point, where the comparable cost to do a sequencing experiment at the whole genome level, gives you all the structural variations, the single nucleotide variation, the haplotype phasing. And so on in one experiment for that amount of money that you get with the short read sequencing experiment, which gives you effectively with any kind of completeness at all, just a single nucleotide variant picture. If we do that, then we are a major player in that space and that's kind of what we are shooting for. The other things that we think is a growing opportunity for us are in some of the targeted, particularly human sequencing applications where you just can't get the answer in certain gene families or even certain genes that are both research important and clinically relevant, and again, there is a lot of those areas where short reads are really good, and there is areas where they are not. And we would see long-term, a split of about 50/50 in those cases as well.