On Oct 18, 2011, at 22:27 , Nestor Zaburannyi wrote: > Thanks for the answer. And if it is GC-rich? I am reluctant of using > more than 100x, because of people here saying it is not good. Also, > because MIRA gets very slow. GC rich data make the appearance of the GGCxG motif related sequencing error more frequent. There is less sequencing data per se present and it has more errors ... this combined with clipping may lead to zero assembly coverage, even at higher raw coverages. B. -- You have received this mail because you are subscribed to the mira_talk mailing list. For information on how to subscribe or unsubscribe, please visit http://www.chevreux.org/mira_mailinglists.html