Thanks Bastien for the answer! However I am currently unable to correct my reads because I lack the glib version required by celera. Also, I used miramem to estimate the RAM required, which is a lot smaller than my actual RAM 16G ************************* Estimates ************************* The contigs will have an average coverage of ~ 35.0 (+/- 10%) Estimates may be way off for pathological cases. RAM estimates: reads+contigs (unavoidable): 1.1 GiB large tables (tunable): 2.8 GiB --------- total (peak): 3.9 GiB add if using -CL:pvlc=yes : 432. MiB Note that some algorithms might try to grab more memory if the need arises and the system has enough RAM. The options for automatic memory management control this: -AS:amm, -AS:kpmf, -AS:mps Further switches that might reduce RAM (at cost of run time or accuracy): -SK:mhim, -SK:mchr (both runtime); -SK:mhpr (accuracy) So I added in option -GE:amm=on -GE:kpmf=10 and it still stopped at the exactly the same point of the analysis. Is there something else I can do to trouble shoot? Best, Chenling 2014-05-14 15:13 GMT-07:00 Bastien Chevreux <bach@xxxxxxxxxxxx>: > On 14 May 2014, at 23:35 , Chenling Antelope <chenlingantelope@xxxxxxxxx> > wrote: > > I am trying to assemble a genome with pacbio reads. My reads are > uncorrected. and I have in total 28245 reads. > > > Running MIRA with uncorrected reads is not recommended. > > Mira ran for about half an hour before it crashed. > > > Your output lets me think that it wasn’t MIRA which crashed, but rather > the OS seems to have killed it. I suspect because of memory problems, i.e., > not enough RAM. > > B. > > >