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  • The 2024 Canadian Bioinformatics Workshops are here!

    The 2024 Canadian Bioinformatics Workshops have arrived! Registration is open now for the following workshops:
    • Infectious Disease Genomic Epidemiology: May 13-17, Vancouver BC and Hamilton ON
    • Beginner Microbiome Analysis: May 27-28, St. John's NL
    • Advanced Microbiome Analysis: May 29-30, St. John's NL
    • Metabolomics Analysis: June 3-5, Edmonton AB and Montréal QC
    • Introduction to R: June 11-12, Toronto ON
    • Analysis Using R: June 13-14, Toronto ON
    • RNA-seq Analysis: June 17-19, Toronto ON
    • scRNA-seq Analysis: June 20-21, Toronto ON
    • Pathway and Network Analysis: June 26-28, Toronto ON
    • Help! What Statistical Model Should I Use?: July 29-31, Guelph ON
    • Epigenomics Analysis: August 26-29, Vancouver BC and Montréal QC
    • Machine Learning: September 7-8, virtual
    • Proteomics: September 16-18, Laval QC
    • Machine Learning for Medical Imaging Analysis: September 19-20, Toronto ON
    • Pharmacogenomics Data Analysis: October 17-18, Toronto ON
    • Pathway and Network Analysis: November 11-December 6, Virtual Asynchronous

    Feel free to download and share our complete 2024 workshop poster.

Latest Articles

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  • seqadmin
    Genetic Variation in Immunogenetics and Antibody Diversity
    by seqadmin



    The field of immunogenetics explores how genetic variations influence immune responses and susceptibility to disease. In a recent SEQanswers webinar, Oscar Rodriguez, Ph.D., Postdoctoral Researcher at the University of Louisville, and Ruben Martínez Barricarte, Ph.D., Assistant Professor of Medicine at Vanderbilt University, shared recent advancements in immunogenetics. This article discusses their research on genetic variation in antibody loci, antibody production processes,...
    11-06-2024, 07:24 PM
  • seqadmin
    Choosing Between NGS and qPCR
    by seqadmin



    Next-generation sequencing (NGS) and quantitative polymerase chain reaction (qPCR) are essential techniques for investigating the genome, transcriptome, and epigenome. In many cases, choosing the appropriate technique is straightforward, but in others, it can be more challenging to determine the most effective option. A simple distinction is that smaller, more focused projects are typically better suited for qPCR, while larger, more complex datasets benefit from NGS. However,...
    10-18-2024, 07:11 AM

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