On Fri, Jun 26, 2009 at 07:27:10AM +0900, Namshin Kim wrote: -> I think the .seqDict uses large memory because you have 16m sequence IDs. -> Are you using AnnotDB for your NLMSA? I remember that you used dummy object -> to save annotation object? In that case, I think pygr would use greater -> memory. That is all I can think of...
16m sequence IDs != 16 gb of memory! Or at least it shouldn't. I'm using a regular SequenceFileDB, and a regular NLMSA. --titus --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "pygr-dev" group. To post to this group, send email to [email protected] To unsubscribe from this group, send email to [email protected] For more options, visit this group at http://groups.google.com/group/pygr-dev?hl=en -~----------~----~----~----~------~----~------~--~---
