Sequencing applications

RNA seq

RNA sequencing (RNA-Seq) is a powerful method for profiling and quantifying gene expression at the RNA level.  It is typically used to characterize and/or compare gene expression profiles under specific conditions, taking into account biological replicates. The method does not require species and transcript-specific probes, thus no previous knowledge regarding the nature of the transcriptome is required.

The method also enables variants discovery analysis.


CEL-Seq is a RNA sequencing technique designed to overcome the limitation of small starting amounts of RNA, often used for single-cell RNA sequencing.

In this protocol, samples are barcoded and pooled before linear amplification of mRNA via IVT.
During the sample preparation, each mRNA transcript is tagged with a Unique Molecular Identifier (UMI), which is used during the bioinformatics analysis to collapse reads originated from the same transcript.

In order to account for pipetting variation, spike-ins of a known concentration may be added to individual samples at the beginning of sample preparation. Data is then mapped and counted according to the known spike-in sequences and annotations. Using the expected counts of spike-ins, correlation plots and statistics are generated.


Resequencing analysis identifies whole genome variations compared to a reference genome, such as SNPs, insertions and deletions. DNA variants are genotyped, annotated, and compared between samples.


ChIP-Seq is an application used to analyze protein-DNA interactions. It combines chromatin immunoprecipitation (ChIP) with high-throughput DNA sequencing to identify the binding sites of DNA-associated proteins such as histone modifications and transcription factors.

Exome Sequencing:

Exome sequencing is a widely used and cost-effective targeted sequencing method.
The application is used to enrich, sequence, and analyze the coding and regulatory regions of the genome, allowing detection of disease causing candidate variants (including SNPs, insertions and deletions), population genetics, and more.