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22 materials found

Keywords: Experimental-design  or bioinformatics 


NGS overview

This course covers: Sequencing technologies Applications Categories of analysis Sample preparation Potential services in NGS Appendix

Scientific topics: Sequencing, High-throughput sequencing

Keywords: bioinformatics, Australia

NGS overview https://tess.elixir-europe.org/materials/ngs-overview This course covers: Sequencing technologies Applications Categories of analysis Sample preparation Potential services in NGS Appendix Vicky Schneider Sequencing High-throughput sequencing bioinformatics, Australia Biologists
Python Overview

Introduction to Python

Keywords: bioinformatics, Australia

Python Overview https://tess.elixir-europe.org/materials/python-overview Introduction to Python Vicky Schneider bioinformatics, Australia Biologists
Galaxy workflows

This workshop/tutorial will familiarise you with the Galaxy workflow engine. It will cover the following topics: Logging in to the server How to construct and use a workflow by various methods How to share a workflow

Scientific topics: Workflows

Keywords: bioinformatics

Galaxy workflows https://tess.elixir-europe.org/materials/galaxy-workflows This workshop/tutorial will familiarise you with the Galaxy workflow engine. It will cover the following topics: Logging in to the server How to construct and use a workflow by various methods How to share a workflow Vicky Schneider Workflows bioinformatics Biologists
What is GenomeSpace?

GenomeSpace is a cloud-based interoperability framework to support integrative genomics analysis through an easy-to-use Web interface. GenomeSpace provides access to a diverse range of bioinformatics tools, and bridges the gaps between the tools, making it easy to leverage the available analyses...

Keywords: bioinformatics, GVL

What is GenomeSpace? https://tess.elixir-europe.org/materials/what-is-genomespace GenomeSpace is a cloud-based interoperability framework to support integrative genomics analysis through an easy-to-use Web interface. GenomeSpace provides access to a diverse range of bioinformatics tools, and bridges the gaps between the tools, making it easy to leverage the available analyses and visualizations in each of them. The tools retain their native look and feel, with GenomeSpace providing frictionless conduits between them through a lightweight interoperability layer. Vicky Schneider bioinformatics, GVL Biologists
Introduction to Galaxy

Basic Introduction to Galaxy

Keywords: bioinformatics

Introduction to Galaxy https://tess.elixir-europe.org/materials/introduction-to-galaxy Basic Introduction to Galaxy Vicky Schneider bioinformatics Biologists
Researcher Training Day for Life Scientists_ Rad-seq with Stacks in Galaxy

This materials are associated to the Galaxy Australasia Meeting 2017 kicks off on Friday 3rd February with the Researcher Training Day. This event targets life scientists working with Next-Generation Sequencing data, in particular RNA-Seq, RAD-Seq, and microbial genomes.

Keywords: bioinformatics

Researcher Training Day for Life Scientists_ Rad-seq with Stacks in Galaxy https://tess.elixir-europe.org/materials/researcher-training-day-for-life-scientists_-rad-seq-with-stacks-in-galaxy This materials are associated to the Galaxy Australasia Meeting 2017 kicks off on Friday 3rd February with the Researcher Training Day. This event targets life scientists working with Next-Generation Sequencing data, in particular RNA-Seq, RAD-Seq, and microbial genomes. Pip Griffin Sonika Tyagi bioinformatics Biologists
EMBL-ABR workshop on Open Source and Software Development Best Practice

This workshop will provide an interactive forum to discuss, review and gain an overview of Open Source and Software Development and will be based on content from the ELIXIR Software Development Best Practices group and aims to explore how to harmonise EMBL-ABR efforts in this area

Scientific topics: Software engineering

Keywords: bioinformatics

EMBL-ABR workshop on Open Source and Software Development Best Practice https://tess.elixir-europe.org/materials/embl-abr-workshop-on-open-source-and-software-development-best-practice This workshop will provide an interactive forum to discuss, review and gain an overview of Open Source and Software Development and will be based on content from the ELIXIR Software Development Best Practices group and aims to explore how to harmonise EMBL-ABR efforts in this area Rafael C Jimenez Jason Williams Software engineering bioinformatics software developers, bioinformaticians
EMBL-ABR/ELIXIR/CyVerse workshop: Registries in Bioinformatics

This workshop will provide an introduction to existing solutions and methods for registries across a variety of areas relevant to bioinformatics, such as tools, datasets, standards, events and training.

Keywords: bioinformatics

EMBL-ABR/ELIXIR/CyVerse workshop: Registries in Bioinformatics https://tess.elixir-europe.org/materials/embl-abr-elixir-cyverse-workshop-registries-in-bioinformatics This workshop will provide an introduction to existing solutions and methods for registries across a variety of areas relevant to bioinformatics, such as tools, datasets, standards, events and training. Rafael C Jimenez Jason Williams Sonika Tyagi bioinformatics bioinformaticians
EMBL-ABR Best Practice workshop series: the data life-cycle

From 24-28 October 2016, the EMBL-ABR Hub ran a week-long Best Practice workshop series focussing on the Data Life Cycle for biological and bioinformatics data. International and local faculty members joined highly engaged participants from around Australia: students, postdocs, lecturers, other...

Scientific topics: Data types and objects, Data management

Keywords: bioinformatics, data

EMBL-ABR Best Practice workshop series: the data life-cycle https://tess.elixir-europe.org/materials/embl-abr-best-practice-workshop-series-the-data-life-cycle From 24-28 October 2016, the EMBL-ABR Hub ran a week-long Best Practice workshop series focussing on the Data Life Cycle for biological and bioinformatics data. International and local faculty members joined highly engaged participants from around Australia: students, postdocs, lecturers, other scientists, research assistants and research data managers. Jyoti Khadake Sandra Orchard Dan Bolser Suzanna Lewis Data types and objects Data management bioinformatics, data Biologists bioinformaticians
Big Data, Genes, and Medicine

This course distills for you expert knowledge and skills mastered by professionals in Health Big Data Science and Bioinformatics. You will learn exciting facts about the human body biology and chemistry, genetics, and medicine that will be intertwined with the science of Big Data and skills to...

Keywords: life-sciences, computer-science, bioinformatics, algorithms

Big Data, Genes, and Medicine https://tess.elixir-europe.org/materials/big-data-genes-and-medicine This course distills for you expert knowledge and skills mastered by professionals in Health Big Data Science and Bioinformatics. You will learn exciting facts about the human body biology and chemistry, genetics, and medicine that will be intertwined with the science of Big Data and skills to harness the avalanche of data openly available at your fingertips and which we are just starting to make sense of. We’ll investigate the different steps required to master Big Data analytics on real datasets, including Next Generation Sequencing data, in a healthcare and biological context, from preparing data for analysis to completing the analysis, interpreting the results, visualizing them, and sharing the results. Needless to say, when you master these high-demand skills, you will be well positioned to apply for or move to positions in biomedical data analytics and bioinformatics. No matter what your skill levels are in biomedical or technical areas, you will gain highly valuable new or sharpened skills that will make you stand-out as a professional and want to dive even deeper in biomedical Big Data. It is my hope that this course will spark your interest in the vast possibilities offered by publicly available Big Data to better understand, prevent, and treat diseases. life-sciences, computer-science, bioinformatics, algorithms 2017-03-24
ChIP-seq analysis using R - Experimental design and peak calling.

This lecture is an introduction to ChIP-seq experiments and data. It provides a theoretical background to experimental design and peak calling.

Keywords: ChIP-Seq, Experimental-design, Peak-calling, Visualisation

ChIP-seq analysis using R - Experimental design and peak calling. https://tess.elixir-europe.org/materials/chip-seq-analysis-using-r-experimental-design-and-peak-calling-cfd4c18f-6c86-45ae-ab0b-630422c76af6 This lecture is an introduction to ChIP-seq experiments and data. It provides a theoretical background to experimental design and peak calling. ChIP-Seq, Experimental-design, Peak-calling, Visualisation
ChIP-seq analysis using R

ChIP-seq is the most commonly used technique to study binding profiles of chromatin proteins, such as TFs or histone modification patterns. This course is an introduction to ChIP-seq data, and data analysis mainly using R, some command line based peak-callers and online software. It provides a...

Keywords: ChIP-Seq, Experimental-design, Peak-calling, Differential-binding, Visualisation, Annotation, Homo-sapiens, R-programming

ChIP-seq analysis using R https://tess.elixir-europe.org/materials/chip-seq-analysis-using-r-5049bc9c-9bbb-4a6b-9244-37ed3980da0e ChIP-seq is the most commonly used technique to study binding profiles of chromatin proteins, such as TFs or histone modification patterns. This course is an introduction to ChIP-seq data, and data analysis mainly using R, some command line based peak-callers and online software. It provides a theoretical background and the means to perform peak calling and differential binding analysis. ChIP-Seq, Experimental-design, Peak-calling, Differential-binding, Visualisation, Annotation, Homo-sapiens, R-programming
Bioinformatics: Life Sciences on Your Computer

What makes bioinformatics education exciting is that people of a variety of education levels can get started quickly, with just a computer and internet access.

Keywords: life-sciences, bioinformatics

Bioinformatics: Life Sciences on Your Computer https://tess.elixir-europe.org/materials/bioinformatics-life-sciences-on-your-computer What makes bioinformatics education exciting is that people of a variety of education levels can get started quickly, with just a computer and internet access. life-sciences, bioinformatics 2016-06-29
Bioinformatic Methods II

Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful...

Keywords: life-sciences, bioinformatics

Bioinformatic Methods II https://tess.elixir-europe.org/materials/bioinformatic-methods-ii Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on. Topics covered include multiple sequence alignments, phylogenetics, gene expression data analysis, and protein interaction networks, in two separate parts. The first part, Bioinformatic Methods I, dealt with databases, Blast, multiple sequence alignments, phylogenetics, selection analysis and metagenomics. This, the second part, Bioinformatic Methods II, will cover motif searching, protein-protein interactions, structural bioinformatics, gene expression data analysis, and cis-element predictions. This pair of courses is useful to any student considering graduate school in the biological sciences, as well as students considering molecular medicine. These courses are based on one taught at the University of Toronto to upper-level undergraduates who have some understanding of basic molecular biology. If you're not familiar with this, something like https://learn.saylor.org/course/bio101 might be helpful. No programming is required for this course although some command line work (though within a web browser) occurs in the 5th module. life-sciences, bioinformatics 2017-05-04
Bioinformatics Capstone: Big Data in Biology

In this course, you will learn how to use the BaseSpace cloud platform developed by Illumina (our industry partner) to apply several standard bioinformatics software approaches to real biological data. In particular, in a series of Application Challenges will see how genome assembly can be used...

Keywords: life-sciences, computer-science, bioinformatics, algorithms

Bioinformatics Capstone: Big Data in Biology https://tess.elixir-europe.org/materials/bioinformatics-capstone-big-data-in-biology In this course, you will learn how to use the BaseSpace cloud platform developed by Illumina (our industry partner) to apply several standard bioinformatics software approaches to real biological data. In particular, in a series of Application Challenges will see how genome assembly can be used to track the source of a food poisoning outbreak, how RNA-Sequencing can help us analyze gene expression data on the tissue level, and compare the pros and cons of whole genome vs. whole exome sequencing for finding potentially harmful mutations in a human sample. Plus, hacker track students will have the option to build their own genome assembler and apply it to real data! life-sciences, computer-science, bioinformatics, algorithms 2017-03-25
Bioinformatic Methods I

Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful...

Keywords: life-sciences, bioinformatics

Bioinformatic Methods I https://tess.elixir-europe.org/materials/bioinformatic-methods-i Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on. Topics covered include multiple sequence alignments, phylogenetics, gene expression data analysis, and protein interaction networks, in two separate parts. The first part, Bioinformatic Methods I (this one), deals with databases, Blast, multiple sequence alignments, phylogenetics, selection analysis and metagenomics. This, the second part, Bioinformatic Methods II, covers motif searching, protein-protein interactions, structural bioinformatics, gene expression data analysis, and cis-element predictions. This pair of courses is useful to any student considering graduate school in the biological sciences, as well as students considering molecular medicine. Both provide an overview of the many different bioinformatic tools that are out there. These courses are based on one taught at the University of Toronto to upper-level undergraduates who have some understanding of basic molecular biology. If you're not familiar with this, something like https://learn.saylor.org/course/bio101 might be helpful. No programming is required for this course. life-sciences, bioinformatics 2017-10-09
ChIP-seq analysis using R - Experimental design and peak calling.

This lecture is an introduction to ChIP-seq experiments and data. It provides a theoretical background to experimental design and peak calling.

Keywords: ChIP-Seq, Experimental-design, Peak-calling, Visualisation

ChIP-seq analysis using R - Experimental design and peak calling. https://tess.elixir-europe.org/materials/chip-seq-analysis-using-r-experimental-design-and-peak-calling This lecture is an introduction to ChIP-seq experiments and data. It provides a theoretical background to experimental design and peak calling. ChIP-Seq, Experimental-design, Peak-calling, Visualisation
ChIP-seq analysis using R - Quality Control

This practical illustrates steps that can be undertaken to assess the quality of the sequencing data. We will start from the fastq files and assess their quality in respect to potential contamination and technical artifacts.

Scientific topics: RNA-Seq

Keywords: ChIP-Seq, RNA-Seq, QC, Data-format, Experimental-design

ChIP-seq analysis using R - Quality Control https://tess.elixir-europe.org/materials/chip-seq-analysis-using-r-quality-control This practical illustrates steps that can be undertaken to assess the quality of the sequencing data. We will start from the fastq files and assess their quality in respect to potential contamination and technical artifacts. RNA-Seq ChIP-Seq, RNA-Seq, QC, Data-format, Experimental-design
ChIP-seq analysis using R - File formats and QC

This lecture introduces the file formats of sequencing data before alignment and covers the general quality control of sequencing data focussing on RNA-Seq and ChIP-Seq.

Scientific topics: RNA-Seq

Keywords: ChIP-Seq, RNA-Seq, QC, Data-format, Experimental-design

ChIP-seq analysis using R - File formats and QC https://tess.elixir-europe.org/materials/chip-seq-analysis-using-r-file-formats-and-qc This lecture introduces the file formats of sequencing data before alignment and covers the general quality control of sequencing data focussing on RNA-Seq and ChIP-Seq. RNA-Seq ChIP-Seq, RNA-Seq, QC, Data-format, Experimental-design
ChIP-seq analysis using R - Quality Control Walkthrough

This practical illustrates steps that can be undertaken to assess the quality of the sequencing data. We will start from the fastq files and assess their quality in respect to potential contamination and technical artifacts.

Scientific topics: RNA-Seq

Keywords: ChIP-Seq, RNA-Seq, QC, Data-format, Experimental-design

ChIP-seq analysis using R - Quality Control Walkthrough https://tess.elixir-europe.org/materials/chip-seq-analysis-using-r-quality-control-walkthrough This practical illustrates steps that can be undertaken to assess the quality of the sequencing data. We will start from the fastq files and assess their quality in respect to potential contamination and technical artifacts. RNA-Seq ChIP-Seq, RNA-Seq, QC, Data-format, Experimental-design
ChIP-Seq

No description available

Keywords: ChIP-Seq, Experimental-design, QC, ChIP-Seq-QC, Data-format, Alignment, Peak-calling, Differential-binding, Annotation

ChIP-Seq https://tess.elixir-europe.org/materials/chip-seq No description available ChIP-Seq, Experimental-design, QC, ChIP-Seq-QC, Data-format, Alignment, Peak-calling, Differential-binding, Annotation
ChIP-seq analysis using R

ChIP-seq is the most commonly used technique to study binding profiles of chromatin proteins, such as TFs or histone modification patterns. This course is an introduction to ChIP-seq data, and data analysis mainly using R, some command line based peak-callers and online software. It provides a...

Keywords: ChIP-Seq, Experimental-design, QC, Data-format, Alignment, Peak-calling, Differential-binding, Visualisation, Annotation

ChIP-seq analysis using R https://tess.elixir-europe.org/materials/chip-seq-analysis-using-r ChIP-seq is the most commonly used technique to study binding profiles of chromatin proteins, such as TFs or histone modification patterns. This course is an introduction to ChIP-seq data, and data analysis mainly using R, some command line based peak-callers and online software. It provides a theoretical background and the means to perform peak calling and differential binding analysis. ChIP-Seq, Experimental-design, QC, Data-format, Alignment, Peak-calling, Differential-binding, Visualisation, Annotation