Dear Peter, How do you interpret the min target size of 22? What is your read length? Might I know why is the target size smaller than the read length? Thanks. Alan 2014-02-14 10:58 GMT+08:00 Alan Tsang <alantsangmb@xxxxxxxxx>: > Hello Bastien, > > I am using mira 4.0 right now. > And I am making an assembly setting the template_size = 100 2000 > autorefine and segment_placement = ---> <--- > > After all, the result maf file just report the template_size same as my > input manifest file: > @Version 2 0 > @Program MIRALIB > @ReadGroup > @RG name SomeHiseqReadsIGotFromTheLab > @RG ID 1 > @RG technology Solexa > @RG strainname Monkey > @RG templatesize 100 2000 > @RG segmentplacement FR > @RG segmentnaming solexa > @EndReadGroup > > How can I know the templatesize after refine? Thanks. > > Alan > > > 2014-02-13 18:32 GMT+08:00 Bastien Chevreux <bach@xxxxxxxxxxxx>: > > > On February 13, 2014 at 10:48 AM Peter Cock <p.j.a.cock@xxxxxxxxxxxxxx> >> wrote: >> > [...] >> > Those are the predictions for each of the five passes - settling down >> to a mean >> > template size of approx 230, standard deviation 114, skew 0.77, min 24, >> max 480. >> > >> > However, the MAF header seems to have the min/max from the first pass >> (22, 515), >> > is that an error? >> >> Yes. And no, it currently depends a bit on your manifest file. >> >> If the segment_placement is not known, MIRA determines the placement in >> the first pass and the size in the second pass. If you gave the placement >> (other than "unknown") as parameter in the manifest, then the size is >> directly determined in the first pass. Though maybe I should change that as >> first pass assemblies are a bit of a "warm-up" and can include quite some >> misassemblies. That's more of a problem for large libraries I think, though >> I need to ponder about this whether I should not push that to second pass >> per default. >> >> Size predictions from subsequent passes however are ignored on purpose >> as MIRA will have used the previous predictions to place reads and thus >> have rejected a couple of pairs which fell outside the prediction. If one >> recalculates predictions on that, the results will be ever shrinking ranges >> which is not what you want. >> >> B. >> >> > >