Bioinformatics for Primary Research

AGRF partners with universities and research institutes to provide comprehensive bioinformatics support across a wide range of disciplines. Our experienced team works alongside researchers to analyse and interpret complex genomic data, helping to accelerate discovery and generate impactful publications.

We support projects in areas such as:

  • Human health and disease

  • Agriculture and environmental science

  • Microbiome and metagenomics

  • Functional genomics and transcriptomics

  • Population genetics and evolutionary biology

From experimental design through to advanced data interpretation, AGRF offers flexible, collaborative bioinformatics solutions that empower researchers to get the most from their data.

 

  • Quantitate RNA from many cells (bulk) within a sample to profile gene expression and detect alternative splicing

    Related data: Stranded mRNA (polyA), Total RNA, Small RNA

  • Quantitate RNA from individual cells (single cell) within a sample to profile gene expression and classify cell types.

    Related data: 10X Genomics, Honeycomb Biotechnologies, Parse Biosciences.

  • Developing a new reference genome for an organism. 

    Related data: Long read WGS, Omni-C, transcriptomics.

    Species type: Bacteria, Fungus, Plant, Animal. Eukaryotic & Prokaryotic.

  • Develop a reference transcriptome of expressed/transcribed RNA.

    Related data: IsoSeq, Total RNA.

  • Quantitating and comparing the amount of methylation across regions of the genome.

  • Targeted assay to compare the relative amount of protein in samples.

  • Detecting / quantitating gene edits from methods such as CRISPR-Cas9. Detecting transgenic modifications (introduction of foreign DNA).

    Related data: Amplicon Sequencing, WGS.

  • Charactering plasmids to ensure inserted genes are mutation-free, in frame and correct direction.

    Related data: PlasmidSeq