We've updated the AllSeq NGS Knowledge Bank to reflect the latest Illumina instruments - all the specs in one place!
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Moving to Vendor Forum -
Can the 2500 Rapid mode really produce 600M clusters in the two 'lanes'? I've seen results more along 150-180M clusters. Maybe I'm thinking of passing filters and this table is not, but I don't think I've seen the lanes loaded to make 300M clusters each either.Providing nextRAD genotyping and PacBio sequencing services. http://snpsaurus.comComment
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I can't say for sure, but that's the spec for two flow cells (and the number of reads needed to generate the claimed 180Gb per run). Those could be pre-filtered reads, but I wouldn't think filtering would cut the # of reads by half. Hopefully others can chime in with their real world results.Originally posted by SNPsaurus View PostComment
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Ahh, 600M X 300 bp = 180 Gb, so that would be 150M clusters per lane x 2 reads x 150 bp. I think you are counting clusters in some columns and total reads possible (2 per cluster) in others.Providing nextRAD genotyping and PacBio sequencing services. http://snpsaurus.comComment
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Remember that Illumina stats are always in Run output assuming you are running with as many flow cells as possible. A HiSeq 2500 can output 600M clusters per Run which means (150M clusters per lane) X (2 lanes per flow cell) X (2 flow cells per run).Originally posted by SNPsaurus View PostComment
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In all cases the stated outputs should be for entire runs (both flow cells for two flow cell machines). All reads -should- be single reads/clusters. If you find examples where we screwed that up, please let me know and we'll fix it ASAP.Originally posted by SNPsaurus View Post
For the HiSeq 2500 Rapid Mode we have:
2 flow cells X 300M reads/flow cell X 2x150bp reads
2*300M*2*150b=180GbComment
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Right, sorry for the confusion. The single flow cell NextSeq got me messed up going back to the two-flow-cell HiSeq.Providing nextRAD genotyping and PacBio sequencing services. http://snpsaurus.comComment
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I agree that it gets kind of confusing - that's why we built the tableOriginally posted by SNPsaurus View Post
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