RNA-Seq Analysis

Figure shows alternative splicing occuring in exons 2 and 3 of EIF2AK1 between normoxic and hypoxic conditions.RNA-Seq Analysis RNA-Seq enables the profiling of the entire transcriptome in any organism. This type of sequencing is commonly used in projects that aim to either quantify the levels of gene expression, detect differential expression or detect alternative splicing in a sample. RNA-Seq can be performed either on bulk samples or on single cells. The following files can be provided with RNA-Seq projects: Primary QC report (general QC metrics on sequencing quality for each sequenced sample) FASTQ (raw sequence data) and BAM (alignment) files for each sample Count matrix file (raw and normalised counts for annotated genes) Bespoke downstream RNA-Seq analyses*: Secondary QC report (a set of QC metrics to assess the quality of data and exploratory clustering plots) Differential expression analysis.

RNA-Seq enables the profiling of the entire transcriptome in any organism. This type of sequencing is commonly used in projects that aim to either quantify the levels of gene expression, detect differential expression or detect alternative splicing in a sample. RNA-Seq can be performed either on bulk samples or on single cells.

The following files can be provided with RNA-Seq projects:

• Primary QC report (general QC metrics on sequencing quality for each sequenced sample)
• FASTQ (raw sequence data) and BAM (alignment) files for each sample
• Count matrix file (raw and normalised counts for annotated genes)

Bespoke downstream RNA-Seq analyses*:

• Secondary QC report (a set of QC metrics to assess the quality of data and exploratory clustering plots)
• Differential expression analysis
• Alternative splicing analysis
• Gene ontology and functional pathway enrichment analysis
• Customised RNA-Seq downstream analyses

* Please note that bespoke analyses might be subject to availability and resources, please contact us for more information.