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Canadian Bioinformatics Experts
Bioinformatics Activities in Canada & Worldwide
Bioinformatics Education Programs in Canada
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25th Anniversary
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Contact
Contact Bioinformatics.ca
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Workshops
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Workshops
(2024) Introductory Spatial ‘Omics Analysis: Virtual
(2024) Introductory Spatial ‘Omics Analysis: Toronto, ON
(2024) Infectious Disease Genomic Epidemiology: Virtual
(2024) Analysis Using R: Toronto, ON
(2024) Metabolomics Analysis: Montréal, QC
(2024) Metabolomics Analysis: Edmonton, AB
(2024) Introduction to R: Toronto, ON
(2024) Single Cell RNA-seq Analysis: Toronto, ON
(2024) RNA-seq Analysis: Toronto, ON
(2024) Pathway and Network Analysis: Toronto, ON
(2024) Help! What Statistical Model Should I Use?: Guelph, ON
(2024) Advanced Microbiome Analysis: St. John’s, NL
(2024) Epigenomics Analysis: Montréal, QC
(2024) Epigenomics Analysis: Vancouver, BC
(2024) Machine Learning for Medical Imaging Analysis: Pixels to Predictions: Toronto, ON
(2024) Proteomics: Laval, QC
(2024) Machine Learning: Virtual
(2024) Pharmacogenomics Data Analysis: Toronto, ON
(2024) Pathway and Network Analysis: Asynchronous
(2024) Beginner Microbiome Analysis: St. John’s, NL
(2023) Pathway and Network Analysis
(2023) Single Cell RNA-seq Analysis
(2023) Epigenomics Analysis
(2023) Machine Learning
(2023) Infectious Disease Genomic Epidemiology
(2023) Analysis Using R
(2023) RNA-seq Analysis
(2023) Metabolomics Analysis
(2023) CBW-IMPACTT Microbiome Analysis
(2023) Introduction to R
(2020) Informatics and Statistics for Metabolomics
(2019) Introduction to R
(2021) Infectious Disease Epidemiology Analysis
(2021) High Throughput Genomics Analysis
(2021) Environmental Transcriptomics Analysis
(2021) Epigenomics Analysis
(2021) RNA-Seq Analysis
(2021) Microbiome Analysis
(2021) Analysis Using R
(2021) Introduction to R
(2021) Metabolomics Analysis
(2021) Cancer Analysis
(2021) Machine Learning
(2021) Pathway and Network Analysis
(2020) Epigenomic Data Analysis
(2020) Machine Learning
(2020) Pathway and Network Analysis of -Omics Data
(2020) Informatics on High Throughput Sequencing Data
(2020) Informatics for RNA-seq Analysis
(2020) Exploratory Analysis of Biological Data using R
(2020) Introduction to R
(2019) Pathway and Network Analysis of -Omics Data
(2019) Informatics on High Throughput Sequencing Data
(2019) Epigenomic Data Analysis
(2019) Informatics for RNA-seq Analysis
(2019) Bioinformatics for Cancer Genomics
(2019) Informatics and Statistics for Metabolomics
(2019) Exploratory Analysis of Biological Data using R
(2019) High-throughput Biology: From Sequence to Networks
Workshops
(2024) Introductory Spatial ‘Omics Analysis: Virtual
(2024) Introductory Spatial ‘Omics Analysis: Toronto, ON
(2024) Infectious Disease Genomic Epidemiology: Virtual
(2024) Analysis Using R: Toronto, ON
(2024) Metabolomics Analysis: Montréal, QC
(2024) Metabolomics Analysis: Edmonton, AB
(2024) Introduction to R: Toronto, ON
(2024) Single Cell RNA-seq Analysis: Toronto, ON
(2024) RNA-seq Analysis: Toronto, ON
(2024) Pathway and Network Analysis: Toronto, ON
(2024) Help! What Statistical Model Should I Use?: Guelph, ON
(2024) Advanced Microbiome Analysis: St. John’s, NL
(2024) Epigenomics Analysis: Montréal, QC
(2024) Epigenomics Analysis: Vancouver, BC
(2024) Machine Learning for Medical Imaging Analysis: Pixels to Predictions: Toronto, ON
(2024) Proteomics: Laval, QC
(2024) Machine Learning: Virtual
(2024) Pharmacogenomics Data Analysis: Toronto, ON
(2024) Pathway and Network Analysis: Asynchronous
(2024) Beginner Microbiome Analysis: St. John’s, NL
(2023) Pathway and Network Analysis
(2023) Single Cell RNA-seq Analysis
(2023) Epigenomics Analysis
(2023) Machine Learning
(2023) Infectious Disease Genomic Epidemiology
(2023) Analysis Using R
(2023) RNA-seq Analysis
(2023) Metabolomics Analysis
(2023) CBW-IMPACTT Microbiome Analysis
(2023) Introduction to R
(2020) Informatics and Statistics for Metabolomics
(2019) Introduction to R
(2021) Infectious Disease Epidemiology Analysis
(2021) High Throughput Genomics Analysis
(2021) Environmental Transcriptomics Analysis
(2021) Epigenomics Analysis
(2021) RNA-Seq Analysis
(2021) Microbiome Analysis
(2021) Analysis Using R
(2021) Introduction to R
(2021) Metabolomics Analysis
(2021) Cancer Analysis
(2021) Machine Learning
(2021) Pathway and Network Analysis
(2020) Epigenomic Data Analysis
(2020) Machine Learning
(2020) Pathway and Network Analysis of -Omics Data
(2020) Informatics on High Throughput Sequencing Data
(2020) Informatics for RNA-seq Analysis
(2020) Exploratory Analysis of Biological Data using R
(2020) Introduction to R
(2019) Pathway and Network Analysis of -Omics Data
(2019) Informatics on High Throughput Sequencing Data
(2019) Epigenomic Data Analysis
(2019) Informatics for RNA-seq Analysis
(2019) Bioinformatics for Cancer Genomics
(2019) Informatics and Statistics for Metabolomics
(2019) Exploratory Analysis of Biological Data using R
(2019) High-throughput Biology: From Sequence to Networks
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448 days ago
(2023) Machine Learning
Students will gain experience in: Applications and Limitations of Machine Learning and Deep Learnin...
448 days ago
(2023) Infectious Disease Genomic Epidemiology
Participants will gain practical experience and skills to be able to: Understand high-throughput se...
621 days ago
(2020) Informatics and Statistics for Metabolomics
Participants will gain practical experience and skills to be able to: Design appropriate metabolome...
732 days ago
(2021) Infectious Disease Epidemiology Analysis
Participants will gain practical experience and skills to be able to: Understand next generation se...
732 days ago
(2021) High Throughput Genomics Analysis
Beginning with an understanding of the workflow involved to move from platform images to sequence ge...
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