We have recently switched to sequencing paired end 250, and noticed that there is always a bias towards the smaller fragments. We made sure that our libraries are in the exact size range that we wanted (with a lot of size selection experiments), and all of the QC shows that we achieved this range. The problem is that the reads we are getting are all from the lower range so our larger fragments aren't being as well represented. Any thoughts or similar problems?
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Ampure. We use just use a lower amount of Ampure, or multiple extractions.
I think the trick is to look at your results on the bioanalyzer trace but pay attention only to the left side of the curve. Where it reaches the baseline and maybe 100 bases larger will be where about 50% of your reads will be. (Just guessing on the percentage, but that is the idea.)
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PhillipLast edited by pmiguel; 07-01-2015, 06:58 AM.
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Researchers using sequencing and genomics tools often have to make trade-offs. They can choose between speed or scale, short reads or long-range information, or targeted panels or a view of the whole transcriptome. New technologies that have been released this year are built to address those tough choices.
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