Barcode before exome capture

[upenn_ngs]

We are interested in barcoding samples and pooling them before hybridization with exome capture (in order to reduce cost per person).

Has anyone met success with this approach? If so, how many individuals were pooled per capture, and what was the blocking strategy?

[upenn_ngs]

Just used a blocking scheme that appears to work, using short oligos to block sequence before and after the barcode (at 50uM). Three individuals in "one" agilent capture, now off to Hong Kong for sequencing at BGI, crazy world.

[Fabrice ODEFREY]

let us know how it goes we would be interested here to do the same in the future for the same reasons...thanks!

[NextGenSeq]

Just used a blocking scheme that appears to work, using short oligos to block sequence before and after the barcode (at 50uM). Three individuals in "one" agilent capture, now off to Hong Kong for sequencing at BGI, crazy world.

Yeah, crazy that Illumina sends all their HiSeq instruments to China, thereby screwing over all their current GAIIX customers.

Thankfully that will backfire on them since the data from BGI is garbage.

[HGENETIC]

Yeah, crazy that Illumina sends all their HiSeq instruments to China, thereby screwing over all their current GAIIX customers.

Thankfully that will backfire on them since the data from BGI is garbage.

Is this a known problem with BGI and in what way is the data garbage? Not sent anything there but some other collaborators have so it would be interesting to know what sort of output they are giving in case my PI fancies sending some of our data there in the future.

[spenserbsmith]

Is this a known problem with BGI and in what way is the data garbage? Not sent anything there but some other collaborators have so it would be interesting to know what sort of output they are giving in case my PI fancies sending some of our data there in the future.

I was in a seminar a couple weeks ago with Jun Wang, the director of BGI, and their data is not garbage. They had like 4 covers of nature and science this year and 19 other praised publications. All peer-reviewed. I don't think that's quite parallel with BGI making garbage data. I think they just have insane throughput, and in such a situation, some errors occur. I don't think that warrants it being "garbage."

But, if you have more informed experience I'd be willing/wanting to hear it, NextGenSeq.