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Nicholas Matigian
Bioinformatics
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Nicholas Matigian

Head, Bioinformatics

BAppSc(Hons)

Skills:

Workflows (R Studio, Python, NextFlow, Galaxy) | Proteins and proteomics | Transcriptome (bulk and single-cell RNAseq) | Pathway analysis | Metagenomics | Epigenome analysis | Spatial expression profiling | Omics integrative analysis | Bioinformatics experimental design | Decision Trees | Dimensionality reduction/clustering | Classification | Mixed Model (LMM; GLMM) | Longitudinal data analysis | Regression | Machine learning | Correlation analysis | Group comparison | Exploratory analysis | Experimental design

Nicholas Matigian joined QCIF Bioinformatics in 2018 as a Biostatistician, bringing a unique blend of wet lab and computational expertise. His journey into data science began in 2003 when, as a Molecular Biology Research Assistant, he taught himself microarray data analysis, igniting a passion for bioinformatics.

Nicholas’s early research focused on alternative tissue models for neurological disorders, leading to a role at Griffith University’s National Centre for Adult Stem Cell Research. There, he investigated cellular models for Parkinson’s disease, motor neuron disorders, and schizophrenia, generating and analysing experimental data.

Before joining QCIF, he supported biomedical research as a Data Analyst at UQDI’s Biostatistics Facility.

Now Head of QCIF Bioinformatics, Nicholas leads a team supporting partner institutions across Australia. His expertise spans gene expression, methylation, metagenomics, spatial and single-cell analysis. He is committed to training the next generation of Bioinformaticians. A skilled R programmer, he thrives on transforming complex datasets into meaningful biological and clinical insights.

Outside of work, Nicholas is a proud father, a dedicated Tottenham Hotspur fan, and actively contributes to his local community by coaching junior football.

Research Interests
Contributions
Projects Portfolio
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Spatial Transcriptomics in Kidney Disease

Integrated Bioinformatics Support and Cross-Disciplinary Collaboration

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Statewide Ingenuity Pathway Analysis (IPA) Cost-Sharing Initiative

Accelerating Biomedical Research in Queensland

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