I would have thought 10,000 seqs written out in full Genbank format in 20 seconds was pretty good! However, the key to speeding it up would be to modify the OutputStream interactions to use faster things such as NIO. Also it would depend on the source of your sequence objects - if they are all in-memory then this isn't an issue, but if they are being read from a database using lazy or dynamic loading then that could be a bottleneck too.
On 28 Mar 2011, at 17:07, Khalil El Mazouari wrote: > Hi, > > I am developing a sequence annotation app. It should handle ± 100.000 > sequence per run. > > When profiling the app (with 10.000 seq), the total execution time was ± 20 > seconds, of which 57% was used for RichSequence.IOTools.writeGenbak!! > > How one could improve the RichSequence.IOTools performance? > > Thanks. > > khalil > _______________________________________________ > Biojava-l mailing list - [email protected] > http://lists.open-bio.org/mailman/listinfo/biojava-l -- Richard Holland, BSc MBCS Operations and Delivery Director, Eagle Genomics Ltd T: +44 (0)1223 654481 ext 3 | E: [email protected] http://www.eaglegenomics.com/ _______________________________________________ Biojava-l mailing list - [email protected] http://lists.open-bio.org/mailman/listinfo/biojava-l
