Manipulation of biology at the 'Omic level and its downstream effects uses many different techniques such cloning, plasmid design, cell transfection and protein/product production.
Bioinformatics supporting genome-wide landscape of modifications such as DNA methylation, DNA-protein interactions, chromatin accessibility, histone modifications etc.
Spatial multiomics integration, Next Generation Sequencing (NGS), array based gene expression analysis, bulk and single-cell RNA-seq, epigenetic data integration, spatial transcriptomics.
RNA-seq, scRNA-seq, or epigenome (e.g. ChIP-seq, Methylation sequencing) NGS or array-based, NGS-based analysis confirmation of genome edits at a targeted or genome-wide level, sgRNA design optimisation
Exome and Whole Genome Sequence (WGS) variant calling and genome-wide association studies bioinformatics and data visualisation support
16s/ITS Metagenomics & Meta-transcriptomics, pre-processing of raw data, dereplication of sequences and chimeric reads removal, OTU picking, Quality filtering, taxonomical classification
Ontology definition and governance in commercial and open-source platforms alongside deep domain and technical knowledge to support your FAIR and semantic data journey.
Bidirectional translation of biomedical knowledge from the early research laboratory, through development and manufacturing to clinical & patient-oriented and population-based research