The NovaSeq 6000 is the latest advancement in Illumina's line of NGS sequencing instrumentation which combines high throughput patterned flow cell technology with 3 flow cell configurations while drastically reducing run times, simplifying workflow and reducing hands-on time. The NovaSeq allows the Genome Sequencing Facility (GSF) to provide increased throughput and flexibility by operating with multiple flow cell configurations and XP Chemistry capability. XP Chemistry allows independent lane addressment of the NovaSeq flow cells. The Paired End sequencing on the NovaSeq 6000 will be available using the following flow cell configurations: S1 (0.5 Tb), S2 (1.0 Tb), S4 (3.0 Tb) - yielding 0.5 Tb - 6 Tb of sequence data per run on the dual flow cell capable sequencer. The following is a comparison of expected output and data quality for the NovaSeq 6000 flow cell options.
|Flow Cell Type||S1||S2||S4|
|PE Reads Passing Filter per FC||2.6 - 3.2 B||6.6 - 8.2 B||16 - 20 B|
|2 x 100 bp||266 - 333 Gb||667 - 833 Gb||Not Supported|
|2 x 150 bp||400 - 500 Gb||1000 - 1250 Gb||2400 - 3000 Gb|
|2 x 100 bp||≥ 80%||≥ 80%||Not Supported|
|2 x 150 bp||≥ 75%||≥ 75%||≥ 75%|
|2 x 100 bp||~19 hr||~ 25 hr.||Not Supported|
|2 x 150 bp||~25 hr||~ 36 hr.||~ 44 hr.|
What is Index Hopping?
Index hopping (index switching / index drift) has impacted NGS technology since the introduction of sample multiplexing. It can lead to sample misassignment of libraries from the expected index to a different index in a multiplexed pool. Slightly elevated hopping can be experienced on instruments using patterned flow cells like the NovaSeq 6000 which employ exclusion amplification chemistry (EXamp). Index hopping on a patterned flow cell system can range from 0.1 - 2% depending on the type, quality and preparation of the library. Libraries containing higher levels of unincorporated adaptors increase the risk of higher levels of index hopping. The following Best Practices will be implemented by the Genomics Core to minimize index hopping. Investigators preparing their own libraries must follow the Best Practices.
- Generate libraries using unique dual indexing (UDI). Both the i5 and i7 indexes must be unique within the individual library. The i5 and i7 indexes must also be unique from indexes used in other libraries.
- Remove free adaptors from library preps: Add 2nd post PCR amplification bead clean-up step or spin column clean-up.
- Recommended strategies for unique dual index designs (PDF).
- Store libraries individually at -20°C.
- Pool libraries prior to sequencing.
- YouTube Video: Index Hopping Effects and Mitigation Strategies
Sequencing library construction is available through the GSF using the Illumina TruSeq Sample preparation kits and NuGEN sample preparation kit. The following library services are offered:
- TruSeq Stranded mRNA - Generate mRNA libraries directly from total RNA that provide strand origin for sequenced mRNA transcripts. Oligo dT capture based method. UDI adapters.
- NuGen Universal Plus mRNA-seq - Generate mRNA libraries directly from total RNA that provide strand of origin for sequenced mRNA Transcripts. Oligo dT capture based method. UDI adapters with primer-dimer free technology.
- TruSeq Stranded Total RNA – Generate mRNA and non-coding RNA libraries from total RNA that provide strand of origin for sequenced transcripts. Ribosomal reduction based method. UDI adapters
- TruSeq RNA Exome – Convert total RNA into template molecules of know strand of origin coupled with sequence specific probe capture of coding mRNA. Allows interrogation of low yield / low quality RNA.
- TruSeq Small RNA - Generate small RNA / miRNA libraries directly from total RNA.
- TruSeq DNA Nano - Generate Libraries from Genomic DNA of limited quantity. UDI adapters
- TruSeq ChIP-Seq DNA - Selectively sequence DNA sequences bound by target proteins.
- TruSeq DNA Exome - Ideal for scalable exome sequencing studies.
- TruSeq Methyl Capture EPIC – Targeted Methyl-seq library with captured content spanning the full human methylome including CpG islands, CpG shores, CHG and CHH sites. Targeted capture reduces sequence coverage demand when compared to WGBS.
For other library constructs please inquire.