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  • sulicon
    Member
    • Aug 2010
    • 41

    Roche gsMapper output exon contigs rather than full-length sequence?

    Hi all,
    I'm running gsMapper with "-cdna -gref" options. I'm surprised to find the majority of the contigs assembled correspond to individual exons, rather than the transcripts!

    A possible reason I can image is that there may be more then one isoform generated from the same locus, so that the assembler can't assemble the reads from this gene into one. However, this is not the scenario since we have separated isoforms before sequencing.

    I have searched this problem but can't find any information. So I think this is probably not caused by the inability of gsMapper to detect introns. Any suggestion?

    Thanks!

    BTW, it's really strange that at least one transcript with several huge introns (> 3kb) has been assembled successfully, where many transcript with much short introns are failed to be assembled...

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  • GATTACAT
    Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
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    Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
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  • SEQadmin2
    Nine Things a Sample Prep Scientist Thinks About Before Sequencing
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    I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.

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