Hello,
I am in a lab that has recently purchased a illumina miniseq. Our main focus for using this machine is to sequence high numbers of PCR products generated from mouse gDNA to genotype specific regions were we have induced a mutation.
Illumina recommended we use the 16S library preparation method and the nextera xt kit for indexing. While this method does work we are facing a pretty significant problem.
Specifically, we generally can receive up to 300 unique samples a week many of which will needed to be amplified with different primers. With the concentration standardization and multiple rounds of purification and PCR before pooling the library. We have found this method to be unreasonably time consuming and wasteful since we will normally need to be working with 100+ samples at a time.
Could anyone perhaps recommend a faster method or one that does not require so many steps as it honestly gets out of control with so many samples with the 16S method.
I can provide more details if I have not been clear enough.
Thank you
I am in a lab that has recently purchased a illumina miniseq. Our main focus for using this machine is to sequence high numbers of PCR products generated from mouse gDNA to genotype specific regions were we have induced a mutation.
Illumina recommended we use the 16S library preparation method and the nextera xt kit for indexing. While this method does work we are facing a pretty significant problem.
Specifically, we generally can receive up to 300 unique samples a week many of which will needed to be amplified with different primers. With the concentration standardization and multiple rounds of purification and PCR before pooling the library. We have found this method to be unreasonably time consuming and wasteful since we will normally need to be working with 100+ samples at a time.
Could anyone perhaps recommend a faster method or one that does not require so many steps as it honestly gets out of control with so many samples with the 16S method.
I can provide more details if I have not been clear enough.
Thank you
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