Read lengths vary, depending on users, between 36nt and 150nt per end on the GAIIx and between 40nt and 100nt per end on the HiSeq.
All questions about Illumina Sequencing can be directed to Kevin Thai at firstname.lastname@example.org.
Illumina Massively Parallel Sequencing“Sequencing-By-Synthesis” reaction. Illumina recently rolled out its TruSeq v3 reagent kits, improving read quality and reducing GC bias at high cluster densities. As a result, the capacity of the HiSeq has dramatically expanded, so that a single flowcell lane on the HiSeq now produces as many reads as an entire GAII flowcell.
The Genome Analyzer IIx system consists of a cBOT cluster generation station, a Genome Analyzer sequencer, and a Paired-End Module, all of which work in concert to generate and analyze flowcells. The HiSeq system is similar but features expanded capacity and an integrated Paired-End Module.
For an in-depth overview of the Illumina sequencing chemistry, please refer to Kirchner et al 2009.
Illumina currently provides reagents and support for four major sequencing applications:
The following application has been published but does not yet have a kit from Illumina:
- Genotyping: Protocols are being developed for detection of SNPs, chromosomal rearrangements and other genotyping applications.
Illumina sequencing requires the input of libraries which have been properly fragmented, ligated to specific adapters, and, in the case of RNA inputs, converted into complementary DNA. The BioMicro Center accepts fully prepared libraries from users and also offers a variety of sample preparation services for different applications.
Information is also available about multiplexing.
Quality control is very important for optimizing the number of reads and the quality of data produced. We run Bioanalyzer and RT-PCR for all submitted cDNA libraries for Illumina sequencing. For more information on QC methods and protocols please visit the Sequencing Quality Control page.
Each flowcell lane flowcell should produce between 10 and 120 million DNA fragments as of September 2011. Understanding this data often requires a significant investment in informatics and many applications require entirely different interpretations of the data. As part of our sequencing service we provide many of the early steps of bioinformatics for different applications. Further data processing can be arranged on a collaborative basis as resources are available. For more information, check out the links below:
Protocols for all supported technologies can be found here.
Pricing and Priority
Full pricing information is available on our price list.
Each Genome Analyzer processes 8 samples per run, or 7 samples plus a control. The control is typically used to improve sequence quality. Full flowcells can be run usually within two weeks of submission. Partial submissions of less than eight samples (or 7 with control) are put into a project queue, where they join existing samples or await others before processing. Wait times for partial submissions vary depending on demand from other users. Once the run has begun approximately six days are required for clustering, sequencing, and data analysis for a 36 base pair read. The process requires approximately 5 days for a 36nt read.
MIT Core Collaboration
Because of the layout of Illumina flowcells, samples must be run in batches of 7 lanes (a pool of multiplexed samples counts as one lane). In order to ensure quick throughput, we have established a collaboration that allows us to move partial flowcells between the various centers at MIT. For users with less then 4 samples, their samples may be moved between the BioMicro Center, the Whitehead Institute Center for Genome Technologies and the Koch Institute Biopolymer Center. Samples will be moved only to fill out runs or to expedite processing. The Centers are committed to working together to maintain consistent quality between the different cores, so you should see no difference whether your samples are run in BioMicro or at one of our sister centers. Transfers are only available for members of the MIT community.
Initial page written by Summeet Gupta at the WI-CGT