Ioannis Ragoussis Ph.D.

Ioannis Ragoussis

Ioannis Ragoussis

Professor Ioannis (Jiannis) Ragoussis has studied Biochemistry at the University of Tuebingen, Germany, where he obtained his PhD. He did his postdoctoral studies as EMBO fellow with J. Trowsdale at the Imperial Cancer Research Fund Laboratories in London, UK. Subsequently he became Lectures and then Senior Lecturer at the Division of Medical and Molecular Genetics at Guy’s Hospital, then Guy’s and now King’s Medical School. In 2001 he mover to the University of Oxford as Head of Genomics and in 2013 to McGill University where he is Head of Genome Sciences at the McGill University Genome Center and Professor in Human Genetics and at the Department of Bioengineering. He has developed expertise in all fields of genomics and functional genomics. His main interest is developing state-of-the art NGS based approaches to disease gene identification, as well as functional genomics approaches for the identification of prognostic markers and associated pathways in gynecological cancers and brain cancer.

Research Interests

As head of Genome Sciences. he is responsible for the Genomic Platform Development within the MUGQIC Genome Canada Genome Innovation Node and Canada’s Genomics Enterprise funded by CFI. He oversees genomic platform operation and new technology evaluation and integration. His Lab works on Technical Developments including the Single Cell Genomics Lab of the McGill Genome Center and Mutation Detection Technologies with focus on the genomic and transcriptomic analysis of single cells. Supported by CFI the lab includes a Fluidigm BioMark HD instrument, a 10X Genomics Chromium instrument, Nanopore Sequencers (MinION and PromethION), a PacBio Sequel instrument, as well as low volume liquid handling instruments.

The Ragoussis lab is a member of McGill’s Integrative and Quantitative Biology Initiative, lead by Prof. Jacalyn Vogel at the Department of Biology. The lab is responsible for single molecule sequencing using PacBio Sequel technology.

The laboratory is developing genomic tools as part of the international effort to develop Sterile Insert Techniques (SIT) in collaboration with The International Atomic Energy Authority. As part of this work it has contributed to the groundbreaking discovery of the maleness on the Y (MoY) factor in tephretidae published in Science:

The Single Cell Genomics Laboratory is open to Investigators from McGill University and for collaborations with any other Institute, offering single cell expression profiling and DNA analysis including exome Sequencing.

Both single cell whole genome expression profiling as well as whole exome sequencing protocols are validated and available for external users.

For enquiries on single cell technology, 10X Genomics and single molecule Pacbio sequencing please email:


1. Singele Cell Genomics: This work is in collaboration with Professors Morag Park (Tumor Heterogeneity and Microenvironment) Richard Kremer (Circulating Tumor Cells), Guillaume Bourque, Kevin Petrecca, Gustavo Turecki and others. Technical developments include single cell tagging in collaboration with Claudia Kleinman and Santiago Constantino supported by a Genome Canada Disruptive Technologies award.

2. Genome Canada LSARP Project “Tackling childhood brain cancer”: Work with Nada Jabado’s group at MUHC and Michael Taylor’s group on novel long read and linked read approaches for the genomic and transcriptomic analysis of childhood brain tumours.

3. Inherited Ovarian Cancer project in collaboration with Patricia Tonin. Discovering new high-risk ovarian cancer predisposing genes through targeted genetic analyses of a Canadian founder population, as well as interrogating large available biobank data from defined cohorts to investigate a moderately infrequent, functionally aberrant and potentially actionable proposed new cancer predisposing alleles, all funded by CIHR.

4. Methodologies for the highly sensitive detection of both somatic as well as germline mutations: Collaboration with Will Foulkes (Inherited Breast Cancer, DICER1 Syndrome), Lucy Gilbert (Endometrial Cancer) & Bert Vogelstein (Johns Hopkins).

5. The laboratory is also taking part in the Genome Canada LSARP project CanPrevent, working on the development of long read single molecule sequencing based methodologies and diagnostic tests in collaboration with Paul Keown (UBC), Ruth Sapir Pichadze and Cheelong Shaw (MUHC).

6. High Throughput Whole Genome Genotyping using Affymetrix Axiom technology is performed as part of Canada’s Longitudinal Study of Aging (CLSA).

The lab collaborates with companies such as Oxford Nanopore, Agilent, 10X Genomics, SAGE Biosciences and PacBio with further support from Genome Canada, Compute Canada, CFI, CIHR, and others


Ragoussis coordinates two courses:

* Graduate course HGEN 400, Genetics in Medicine and the postgraduate course

* Postgraduate cuurse HGEN 676, Laboratory Course in Genomics.

For enquiries please email:

Lab Composition

Yu Chang Wang: Lab Manager, Single Cell Genomics

Michael Chung: Research Assistant

Corinne Zwaig: Research Assistant (DNA extraction and Genotyping)

Alexandre Beslile: Research Assistant, Genotyping and Liquid Handling Systems Specialist

Shu-Huang Wang: Research Assistant

Pierre Berube: Research Assistant & Long read technology lab manager

Thay Leng Tony Tir: Research Technician

Janick St-Cyr: Research Assistant

Elizabeth Caron: Research Technician

Suzanna Arcand: Research Assistant

Nimara Asbah: Research Assistant

Fadi Alkayal: Research Assistant

Setor Amuzu: PhD student, Queen Elizabeth II scholar

Anthony Bayega: PhD student, Queen Elizabeth II scholar

Melissa Zwaig: PhD student in Human Genetics

Maria Sotiropoulou: MSc student in Human Genetics

Sarah Reiliong: Research Associate in Nanopore technology

Haig Djambadzian: Academic Research Associate

Dunarel Badescu: Research Associate in Bioinformatics

Rui Wang: Research Associate in Bioinformatics and Statistics

Timotee Revil: Research Associate

Spyridon Oikonomopoulos: Research Associate

Alexandre Mazure: Research Associate in Informatics