CBW's Pathway and Network Analysis Workshops May 10-12, 2021
Comprehensive workshop on pathway and network analysis techniques for gene lists, covering visualization, over-representation, regulatory networks, and gene function prediction using various tools.
CBW's Machine Learning Workshops May 25-26, 2021
Comprehensive workshop on machine learning in bioinformatics, covering decision trees, neural networks, hidden Markov models, and practical applications using Keras and Scikit-Learn.
Bioinformatics for Cancer Genomics 2018
Comprehensive exploration of cancer genomics, covering databases, sequencing analysis, gene expression, mutations, and cloud-based bioinformatics tools for reproducible research and big data integration.
High-Throughput Biology - From Sequence to Networks 2017
Comprehensive exploration of high-throughput biology, covering sequencing, RNA analysis, and network pathways with hands-on tutorials using popular bioinformatics tools.
Microbiome Summer School- Big Data Analytics for Omics Science 2017
Explore microbiome research through bioinformatics and big data analytics, covering topics from metagenomics to machine learning for biological data and microbiome database mining.
Informatics and Statistics for Metabolomics 2016
Learn metabolomics data analysis, including technologies, statistics, pathway analysis, and database exploration. Gain practical skills through tutorials and lectures on this emerging field.
Biotechnology
Explore advanced biotechnology techniques including DNA fingerprinting, PCR, blotting, and sequencing. Gain insights into microbiology, genetics, and protein analysis for cutting-edge research applications.
Bioinformatics for Cancer Genomics 2016
Explore key bioinformatics concepts and tools for analyzing cancer genomic data, including mutation detection, gene expression, and data integration techniques.
Bioinformatics for Cancer Genomics 2015
Explore cancer genomics through mapping, gene fusion, copy number alterations, somatic mutations, gene expression profiling, and network analysis. Gain insights into cutting-edge bioinformatics techniques for understanding cancer at the molecular level.
Cancer Data and Its Analysis - 2015
Explore cancer genomics data analysis using ICGC Data Portal and learn pathway and network analysis techniques for understanding cancer biology.
Informatics on High Throughput Sequencing 2014
Explore high-throughput sequencing tools, variant calling, visual analysis, Galaxy integration, and de novo assembly techniques for advanced bioinformatics applications.
Bioinformatics for Cancer Genomics 2013
Explore cancer genomics through data visualization, alignment, mutations, pathway analysis, and gene expression profiling. Learn to interpret biological data for cancer research.
Flow Cytometry Data Analysis Using R 2013
Learn to analyze flow cytometry data using R, covering exploration, processing, quality assurance, static gating, and advanced clustering techniques for comprehensive data interpretation.
Bioinformatics for Cancer Genomics 2012
Explore cancer genomics through somatic mutations, clinical data integration, and copy number alterations. Gain insights into bioinformatics techniques for analyzing cancer genomes.
Informatics and Statistics for Metabolomics 2012
Learn key concepts and tools for metabolomics analysis, including software, databases, statistical methods, and data integration techniques for advancing research in this field.
Bioinformatics for Cancer Genomics 2011
Comprehensive exploration of cancer genomics, covering mutations, clinical data integration, pathway analysis, copy number alterations, and gene expression profiling for advanced bioinformatics insights.
Clinical Genomics and Biomarker Discovery 2010
Explore survival analysis and clinical omics for personalized medicine, delving into cutting-edge approaches in genomics and biomarker discovery.
Interpreting Gene Lists from Omics Studies 2010
Explore pathway and network analysis techniques for interpreting gene lists from omics studies, focusing on over-represented gene functions and their biological significance.
Clinical Biomarkers 2009
Explore clinical biomarkers, their identification, and integration with genomic data for personalized medicine and reproducible research in bioinformatics.
Interpreting Gene Lists from Omics Studies 2009
Explore techniques for interpreting gene lists from omics studies, including functional analysis, pathway analysis, and network analysis of genomic data.
Bioinformatics With Practical
Comprehensive introduction to bioinformatics covering databases, sequence alignment, algorithms, and practical applications with hands-on exercises using various tools and techniques.