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86 materials found

Target audience: Graduate students 


Cloud-SPAN Prenomics

Prenomics prepares learners for the Cloud-SPAN Genomics course. It teaches the basics of command-line programming, including: (1) file directory structure, (2) use of command-line utilities to connect to and use cloud computing and storage resources and (3) basic shell commands for file...

Scientific topics: Bioinformatics, Software engineering, Genomics

Operations: Query and retrieval, Data handling

Keywords: Cloud computing, Shell, Command line, Amazon Web Services, genomics, HPC, Data analysis, bioinformatics

Resource type: course materials, online course, Training materials

The Power of Genomics to Understand the COVID-19 Pandemic

Explore genome sequencing and the SARS-CoV-2 genome:
The course starts with a review of how viruses cause diseases and pandemics, examining the factors that can lead to a public health emergency.

You’ll also get a comprehensive introduction to the SARS-CoV-2 genome structure, and learn...

Keywords: coronavirus, covid-19, sars-cov-2, mutations, Variant calling, Sequencing, pandemic, surveillance, genomics, public health, Genomic data

Resource type: FREE online course

PSLS22 Practical Statistics for the Life Sciences

The concepts and methods are exclusively introduced via case-studies in the life sciences. For every study we elaborate on a concrete research question and then provide a study design, which is followed by data exploration. Next, we will focus on how to model the data and elaborate on the link...

Infectious Disease Genomic Epidemiology 2018 Module 7-Data Visualization

Course providing an introduction to genomic epidemiology analysis followed by hands-on practical tutorials demonstrating the use of selected analysis tools.

Infectious Disease Genomic Epidemiology 2018 Module 6-Emerging Pathogen Detection and Identification Using Metagenomics Samples

Course providing an introduction to genomic epidemiology analysis followed by hands-on practical tutorials demonstrating the use of selected analysis tools.

Infectious Disease Genomic Epidemiology 2018 Module 5-Phylogeographic Analysis

Course providing an introduction to genomic epidemiology analysis followed by hands-on practical tutorials demonstrating the use of selected analysis tools.

Infectious Disease Genomic Epidemiology 2018 Module 4-Antimicrobial Resistance Genes

Course providing an introduction to genomic epidemiology analysis followed by hands-on practical tutorials demonstrating the use of selected analysis tools.

Infectious Disease Genomic Epidemiology 2018 Module 2-Pathogen Genomic Analysis 1

Course providing an introduction to genomic epidemiology analysis followed by hands-on practical tutorials demonstrating the use of selected analysis tools.

Infectious Disease Genomic Epidemiology 2018 Module 1-Introduction to Public Health Microbiology and Genomic Epidemiology

Course providing an introduction to genomic epidemiology analysis followed by hands-on practical tutorials demonstrating the use of selected analysis tools.

Pathways and Network Analysis of -Omics data 2018 Module 6-Regulatory Network Analysis

Course covers the bioinformatics concepts and tools available for interpreting a gene list using pathway and network information.

Pathways and Network Analysis of -Omics data 2018 Module 5-Gene Function Prediction

Course covers the bioinformatics concepts and tools available for interpreting a gene list using pathway and network information.

Pathways and Network Analysis of -Omics data 2018 Module 3-Network Visualization and Analysis with Cytoscape

Course covers the bioinformatics concepts and tools available for interpreting a gene list using pathway and network information.

Pathways and Network Analysis of -Omics Data 2018 Module 2-Finding Over-Represented Pathways

Course covers the bioinformatics concepts and tools available for interpreting a gene list using pathway and network information.

Epigenomic Data Analysis 2018 Module 2-ChIP-Seq Alignment, Peak Calling, and Visualization

Course providing an introduction to histone ChiP-Seq and WGBS data analysis followed by integrated tutorials demonstrating the use of open source ChiP-Seq and WGBS analysis packages.

Bioinformatics of Genomic Medicine 2018 Module 7-Identifying Integrative Subtypes and Building Classifiers

Course will explore various aspects of genomic medicine, covering and teaching popular tools and methods in the field.

Bioinformatics of Genomic Medicine 2018 Module 5-Available Epigenetics Data and Resources

Course will explore various aspects of genomic medicine, covering and teaching popular tools and methods in the field.

Bioinformatics of Genomic Medicine 2018 Module 4-Translating Research Workflows into Clinical Tests

Course will explore various aspects of genomic medicine, covering and teaching popular tools and methods in the field.

Bioinformatics of Genomic Medicine 2018 Module 2-Introduction to Tools, Computing Infrastructure, and Data

Course will explore various aspects of genomic medicine, covering and teaching popular tools and methods in the field.

Informatics and Statistics for Metabolomics 2018 Module 6-Future of Metabolomics

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2018 Module 2-Metabolite Identification and Annotation

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.

Analysis of Metagenomic Data 2018 Module 5-Pulling Genomes from Metagenomes

Course providing an introduction to metagenomic data analysis followed by hands-on practical tutorials demonstrating the use of metagenome analysis tools.

Analysis of Metagenomic Data 2018 Module 4-Metagenomic Taxonomic and Functional Composition

Course providing an introduction to metagenomic data analysis followed by hands-on practical tutorials demonstrating the use of metagenome analysis tools.

Analysis of Metagenomic Data 2018 Module 3-PICRUSt

Course providing an introduction to metagenomic data analysis followed by hands-on practical tutorials demonstrating the use of metagenome analysis tools.

Analysis of Metagenomic Data 2018 Module 2-Marker Gene-Based Analysis

Course providing an introduction to metagenomic data analysis followed by hands-on practical tutorials demonstrating the use of metagenome analysis tools.

Informatics for RNA-Seq Analysis 2018 Module 5-Genome Guided and Genome-free Transcriptome Assembly

Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.

Informatics for RNA-Seq Analysis 2018 Module 1-Introduction to RNA Sequencing Analysis

Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.

Informatics on High-Throughput Sequencing Data 2018 Module 6-De Novo Assmebly

Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads.

Informatics on High-Throughput Sequencing Data 2018 Module 5-Structural Variant Calling

Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads.

Informatics on High-Throughput Sequencing Data 2018 Module 4-Small-Variant Calling and Annotation

Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads.

Informatics on High-Throughput Sequencing Data 2018 Module 3-Genome Alignment

Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads.