Re: [Inchworm-users] De Novo Assembly
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From: Brian J H. <bh...@br...> - 2010-11-18 12:37:02
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Hi Andrew, Inchworm should work very well on squid, and strand-specific data should be slightly better in this case than non-strand-specific data. The strand-specific data helps mostly in the cases where you have high gene density (some fungal genomes) and when transcripts slightly overlap from opposite strands. Since you don't have a genome, I suggest running the Inchworm assembly output through CD-HIT with a 90% identity filter to pull out those transcripts that are the highest quality assemblies. This will minimize the number of artifacts that fall through (assemblies based on error-containing reads) and concentrate the results on the highest quality transcripts. In any case, if you have the option to go strand-specific, I highly encourage you to do so. Being able to properly differentiate between antisense transcripts and sense-transcripts for genes is important and can only be done properly with the strand-specific data. Best, -brian On Wed, Nov 17, 2010 at 11:31 AM, <and...@hu...> wrote: > Hello- > > I'm a PhD student in Dr. Spencer Nyholm's lab at UConn. We're thinking of > doing some strand specific sequencing and are interested in using inchworm > for the assembly. > > Our animal model (a squid) has no sequenced genome, so I'm curious about > how well inchworm assembles contigs without mapping the illumina reads to > a genome. How do the resulting contigs compare with contigs assembled from > unspecific strand reads? Can you give me some comparative statistics? > > Thank you. > -Andrew > > > ------------------------------------------------------------------------------ > Beautiful is writing same markup. Internet Explorer 9 supports > standards for HTML5, CSS3, SVG 1.1, ECMAScript5, and DOM L2 & L3. > Spend less time writing and rewriting code and more time creating great > experiences on the web. Be a part of the beta today > http://p.sf.net/sfu/msIE9-sfdev2dev > _______________________________________________ > Inchworm-users mailing list > Inc...@li... > https://lists.sourceforge.net/lists/listinfo/inchworm-users > -- -- Brian J. Haas Manager, Bioinformatics Outreach, Genome Annotation and Analysis The Broad Institute http://broad.mit.edu/~bhaas |