Illumina Sequencing Services
The Illumina HiSeq 4000 is over three times faster than an identical run length on the HiSeq 2000 while providing over 60% more reads per lane. However, the 4000 has more stringent library requirements and requires a larger sample size than the 2000.
A 2×101 run will take about 2-3 days to complete; a 2×151 will take 3-4. (Time variation can occur depending on the time of day clustering was performed: in the morning or afternoon).
The HiSeq 4000 generally gives 280-330 million reads per lane for a flowcell total of around 2.2 billion reads. While the patterned flow cell used on the 4000 is fixed at 480 million wells/reads per lane, Illumina recommends between 60-70% passed filter (PF) to maximize the number of unique reads in the lane. A higher PF will provide a higher amount of non-unique reads, which means more duplicate data. The HiSeq 4000 is biased towards smaller fragment sizes, so please try to keep your samples close to a consistent fragment length.
One of the great advantages to the MiSeq is the quick turnaround time for runs. The MiSeq is capable of long reads, making it great for de novo assembly of small genomes. The MiSeq is also great for QC tests on sequencing workflows before committing to larger batches on more expensive machines.
The MiSeq v2 kit provides 12-15 million single reads or 24-30 million paired-end reads, while the MiSeq v3 kit provides 22-25 million single reads or 44-50 million paired-end reads.
More information on the MiSeq specifications can be found on Illumina’s website (PDF).
We’ve moved our data analysis pipeline to DNAnexus. Please email Peter Maguire (email@example.com) for information on how to set up an account.
Please note: If you do not provide billing information (grant or credit card) when setting up your account, your data will be free to download for 1 month. If you do provide billing information, you will be charged for data storage after 1 month.
Acknowledging Our Services
Please support the Sequencing Service Center by acknowledging our services in your publications.
If you use the HiSeq 4000, please also acknowledge NIH Grant # 1S10OD020141-01
Thanks for your help!