At AGRF, we help researchers uncover how genes behave differently under various conditions. Using advanced bioinformatics, we compare gene activity between samples, such as healthy versus diseased tissue, or treated versus untreated cells, to identify which genes are “switched on” or “switched off.” These insights provide a deeper understanding of biological processes and can guide research, diagnostics, and therapeutic development.

• Short Read Sequencing: such as mRNA, Total RNA, small RNA

• Long Read Sequencing

• Proteomics

• Methylation: such as PacBio, Arrays, Enzymatic MethylSeq

• Single cell RNA

AGRF helps researchers identify genetic differences, known as variants, across genomes. These can include changes as small as a single DNA letter or larger structural changes. By detecting and analysing these variants, we provide insights into traits, disease susceptibility, and individual responses to treatments, helping guide research, diagnostics, and personalised medicine.

• Germline/hereditary SR - ISO15189 clinical accreditation

• Somatic SR - TSO500 ISO15189, gene fusions

• Somatic SR - WGS/WES ISO17025

• ISO17025 Research uses, SNV, SV, CNV, Annotation, mitochondrial, HLA - SR and LGR

• Pharmacogenomic

• Polygenic Risk Score analysis

• Non-human variant calling

• Sanger Primer Designs

At AGRF, we help researchers understand the genetic makeup of individuals and populations. Genomic characterisation involves mapping and analysing the DNA of organisms to reveal their unique genetic features. Population genomic structure examines how genetic variation is distributed across groups, populations, or species, providing insights into ancestry, diversity, and evolution. Together, these analyses support research in fields such as agriculture, conservation, health, and personalised medicine.

• Large genome and transcriptome assembly

• Plasmid/small genome assembly

• Genome annotation

• Transcript isoform assembly

• CRISPR-Cas9 & transgenic changes

• Advanced Genomic Services: such as Hi-C, Micro-C, Omni-C, CUT&RUN, ATAC-seq

• Allegro

• Population Genomics - Genotyping by Sequencing (GBS) -> SNP identification; reference-free genotyping

At AGRF, we help researchers explore the communities of microorganisms that live in and around us. Microbiome bioinformatics involves analysing complex microbial data to understand which microbes are present, how they interact, and how they influence health, disease, or the environment. These insights can guide research in medicine, agriculture, ecology, and beyond, unlocking the hidden impact of microbes on our world.

• Gene targeting for taxonomic annotation using 16S, ITS, CO1, or custom primers on request

• Taxonomic and functional characterisation using MetaWGS

• Metagenome contig assemblies through Long-Read

• Functional screening

• Differential abundance analysis

• Overall community structure analysis (alpha/beta diversity)