Experts in methylome data analysis
Differential methylation analyses and methylome assembly
To identify, quantify, and annotate methylated regions in whole genome and reduced-representation bisulphite sequencing data, several computationally-intensive bioinformatic analyses, along with an advanced statistical framework, must be carried out. At AllGenetics, we ensure expert assessment and state-of-the-art workflows along with suitable computational resources for your project.
In our current workflows, we:
- Pre-process the raw high-throughput sequencing data.
- Map reads to a reference genome.
- Call methylated sites to recover the methylome.
- Find statistically significant DMRs.
- Annotate DMRs.
- Generate different visualisations of the results.

What you receive
The results of the bioinformatic analysis including demultiplexing, quality control of the raw data and adaptor removal, read alignment against the reference genome, removal of duplicate reads (WGBS) or quality filtering by restriction sites (RRBS), methylation calling, and detection of differentially methylated positions (DMPs) and regions (DMRs) among conditions.
If you require additional analyses, please let us know and we will do our best to meet your needs.