Next Generation Sequencing
Next Generation Sequencing (NGS) utilises massively parallel sequencing to generate thousands of megabases of sequence information per day. Our NGS service utilises the latest Illumina HiSeq 1500, HiSeq 3000, MiSeq and Ion Proton systems, providing speed, flexibility and versility for your project. We undertake both library generation and next generation sequencing.
- Following discussions with our NGS manager and bioinformatician, we will email through a quotation
- Upon quotation acceptance, please submit your samples according to our sample submission guidelines
- All samples are submitted using our online service link ARIN
- Follow the sample submission instructions at the following link. More Info
- We will email following quality control of your samples, library preparation, sequencing and data transfer
- Data Retrieval is via Cloudstore
- Times to Results is within 4 weeks of samples passing quality control
- A quality report will then be provided detailing methodologies used for publication
For Exome sequencing, we recommend 30 million reads per sample using 100 bp paired-end reads (average 60x - 100x coverage using 50 Mb target region)
For RNAseq gene expression studies investigating differential expression, we recommend a minimum of 30 million reads per sample using 50-100 bp fragment reads.
TruSeq® Stranded mRNA LT - poly-A enrichment
For RNAseq requiring the investigation of coding, non-coding regulation and alternative splice variants, 50-60 million reads per sample is recommended using 100 bp paired-end reads.
TruSeq® Stranded Total RNA LT - (with Ribo-‐Zero Human/Mouse/Rat) - rRNA depletion
Ovation® RNA-Seq System V2 - SPIA technology
Total RNA that has been DNase treated (on column) needs to be supplied with a RIN score > 8 as determined by Agilent Bioanalyser analysis.
For Small RNA analysis, we recommend a minimum of 10 million reads per sample using 50 bp fragment reads.
For ChIP-Seq analysis, we recommend a minimum of 20 million reads per sample using 50 bp fragment reads.