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23 materials found

Authors: Jared Simpson  or pajanne  or Aidan Budd 


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 6-De Novo Assmebly https://tess.elixir-europe.org/materials/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. Researchers Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists Graduate students
Informatics on High-Throughput Sequencing Data 2018 Module 1-Introduction to High-Throughput Sequencing

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 1-Introduction to High-Throughput Sequencing https://tess.elixir-europe.org/materials/informatics-on-high-throughput-sequencing-data-2018-module-1-introduction-to-high-throughput-sequencing 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. Researchers Graduate students Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists
Bioinformatics for Cancer Genomics 2018 Module 5-Genome Assembly

Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud.

Bioinformatics for Cancer Genomics 2018 Module 5-Genome Assembly https://tess.elixir-europe.org/materials/bioinformatics-for-cancer-genomics-2018-module-5-genome-assembly Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Bioinformatics for Cancer Genomics 2018 Module 4-Genome Alignment

Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud.

Bioinformatics for Cancer Genomics 2018 Module 4-Genome Alignment https://tess.elixir-europe.org/materials/bioinformatics-for-cancer-genomics-2018-module-4-genome-alignment Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Bioinformatics for Cancer Genomics 2017 Module 3-Genome Alignment and Assembly

Course covers the bioinformatics tools required to analyze genomic data sets.

Bioinformatics for Cancer Genomics 2017 Module 3-Genome Alignment and Assembly https://tess.elixir-europe.org/materials/bioinformatics-for-cancer-genomics-2017-module-3-genome-alignment-and-assembly Course covers the bioinformatics tools required to analyze genomic data sets. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Informatics on High-Throughput Sequencing Data 2017 Module 6-De Novo Assembly

Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads.

Informatics on High-Throughput Sequencing Data 2017 Module 6-De Novo Assembly https://tess.elixir-europe.org/materials/informatics-on-high-throughput-sequencing-data-2017-module-6-de-novo-assembly Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads. Researchers Graduate Students Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists
Informatics on High-Throughput Sequencing Data 2017 Module 1-Introduction to High-Throughput Sequencing

Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads.

Informatics on High-Throughput Sequencing Data 2017 Module 1-Introduction to High-Throughput Sequencing https://tess.elixir-europe.org/materials/informatics-on-high-throughput-sequencing-data-module-1-introduction-to-high-throughput-sequencing Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
High-Throughput Biology 2017 Module 6-De Novo Assembly

Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.

High-Throughput Biology 2017 Module 6-De Novo Assembly https://tess.elixir-europe.org/materials/high-throughput-biology-2017-module-6-de-novo-assembly Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
High-Throughput Biology 2017 Module 1-Introduction to High-Throughput Sequencing

Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.

High-Throughput Biology 2017 Module 1-Introduction to High-Throughput Sequencing https://tess.elixir-europe.org/materials/high-throughput-biology-2017-module-1-introduction-to-high-throughput-sequencing Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome. Graduate students Post-Doctoral Fellows Researchers Biologists, Genomicists, Computer Scientists
Data Manipulation - Collections: Multisample Analysis

A collection of microtutorials explaining data manipulation within Galaxy

Resource type: Tutorial

Data Manipulation - Collections: Multisample Analysis https://tess.elixir-europe.org/materials/data-manipulation-collections-multisample-analysis A collection of microtutorials explaining data manipulation within Galaxy
Data Manipulation - Data: Getting data into Galaxy

A collection of microtutorials explaining data manipulation within Galaxy

Resource type: Slides

Data Manipulation - Data: Getting data into Galaxy https://tess.elixir-europe.org/materials/data-manipulation-data-getting-data-into-galaxy A collection of microtutorials explaining data manipulation within Galaxy
Introduction to Galaxy Analyses - IGV Introduction

Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience.

Resource type: Tutorial

Introduction to Galaxy Analyses - IGV Introduction https://tess.elixir-europe.org/materials/galaxy-introduction-igv-introduction Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience.
Introduction to Galaxy - Multisample Analysis

Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience.

Resource type: Tutorial

Introduction to Galaxy - Multisample Analysis https://tess.elixir-europe.org/materials/galaxy-introduction-multisample-analysis Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience.
Introduction to Galaxy - Getting data into Galaxy

Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience.

Resource type: Slides

Introduction to Galaxy - Getting data into Galaxy https://tess.elixir-europe.org/materials/galaxy-introduction-getting-data-into-galaxy Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience.
Introduction to Galaxy Analyses - Options for using Galaxy

Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - Which Galaxy instance should I use?

Resource type: Slides

Introduction to Galaxy Analyses - Options for using Galaxy https://tess.elixir-europe.org/materials/galaxy-introduction-options-for-using-galaxy Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - Which Galaxy instance should I use?
Introduction to Galaxy Analyses - Galaxy 101

Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - Which coding exon has the...

Resource type: Tutorial

Introduction to Galaxy Analyses - Galaxy 101 https://tess.elixir-europe.org/materials/galaxy-introduction-galaxy-101 Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - Which coding exon has the highest number of single nucleotide polymorphisms (SNPs) on human chromosome 22? Objectives of the tutorial: - Familiarize yourself with the basics of Galaxy - Learn how to obtain data from external sources - Learn how to run tools - Learn how histories work - Learn how to create a workflow - Learn how to share your work
Introduction to Galaxy Analyses - From peaks to genes

Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - How to use Galaxy? - How to get...

Resource type: Tutorial

Introduction to Galaxy Analyses - From peaks to genes https://tess.elixir-europe.org/materials/galaxy-introduction-from-peaks-to-genes Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - How to use Galaxy? - How to get from peak regions to a list of gene names? Objectives of the tutorial: - Familiarize yourself with the basics of Galaxy - Learn how to obtain data from external sources - Learn how to run tools - Learn how histories work - Learn how to create a workflow - Learn how to share your work
Introduction to Galaxy Analyses - Introduction to Galaxy

Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience.

Introduction to Galaxy Analyses - Introduction to Galaxy https://tess.elixir-europe.org/materials/galaxy-introduction-introduction Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience.
Introduction to Multiple Sequence Alignments (MSAs) and Phylogenies

Slides used for teaching an introduction to phylogenies and MSAs in the context of phylogenies for the first day of a two-day course on MSAs at Cambridge University, in the UK, in December 2013. Course taught together with Holger Dinkel and Terri Attwood.

Keywords: Molecular evolution, Multiple sequence alignment, Phylogenetics, Protein sequence analysis, Sequence alignment

Introduction to Multiple Sequence Alignments (MSAs) and Phylogenies https://tess.elixir-europe.org/materials/introduction-to-multiple-sequence-alignments-msas-and-phylogenies Slides used for teaching an introduction to phylogenies and MSAs in the context of phylogenies for the first day of a two-day course on MSAs at Cambridge University, in the UK, in December 2013. Course taught together with Holger Dinkel and Terri Attwood. Molecular evolution, Multiple sequence alignment, Phylogenetics, Protein sequence analysis, Sequence alignment Bench biologists Post-Doctoral Fellows Postgraduate students principle investigators 2013-12-19 2017-10-09
Summarising sets of phylogenies

A presentation given as part of the Basic Evolution Workshop, a trans-African virtual training course (described in this BioEssays article PMID: 21312200; the course wiki is here http://molecevol10.wikispaces.com/). Introduces concepts of splits, consensus trees, consensus networks, describes...

Keywords: Bootstrap, Consensus trees, Phylogenetic splits, Phylogenetics

Summarising sets of phylogenies https://tess.elixir-europe.org/materials/summarising-sets-of-phylogenies A presentation given as part of the Basic Evolution Workshop, a trans-African virtual training course (described in this BioEssays article PMID: 21312200; the course wiki is here http://molecevol10.wikispaces.com/). Introduces concepts of splits, consensus trees, consensus networks, describes examples of applications of these tools, along with introducing ideas of tree topology and some terminology associated with it. Designed for remote training. Bootstrap, Consensus trees, Phylogenetic splits, Phylogenetics Bench biologists 2013-10-23 2017-10-09
Introduction to Multiple Sequence Alignment

An introduction to multiple sequence alignments (MSAs) for bench biologists delivered as part of the EMBL Australia Masterclass on Protein Sequence Analysis http://oz-masterclass.wikispaces.com/ . Focuses on describing: the "anatomy" of a sequence alignment; two alternative interpretations of...

Keywords: Multiple sequence analysis, Protein structure, Sequence analysis

Introduction to Multiple Sequence Alignment https://tess.elixir-europe.org/materials/introduction-to-multiple-sequence-alignment An introduction to multiple sequence alignments (MSAs) for bench biologists delivered as part of the EMBL Australia Masterclass on Protein Sequence Analysis http://oz-masterclass.wikispaces.com/ . Focuses on describing: the "anatomy" of a sequence alignment; two alternative interpretations of alignmetns (structural and evolutionary), and ways of building manual and automatic alignments, and an introduction to JalView Multiple sequence analysis, Protein structure, Sequence analysis Bench biologists 2013-10-23 2017-10-09
Introduction to Bioinformatics

An introduction to bioinformatics for bench biologists delivered as part of the EMBL Australia Masterclass on Protein Sequence Analysis http://oz-masterclass.wikispaces.com/ . Focuses on using UniProt to explore different reasons why information inferred by "direct assay" and "prediction" could...

Keywords: Introduction bioinformatics

Introduction to Bioinformatics https://tess.elixir-europe.org/materials/introduction-to-bioinformatics An introduction to bioinformatics for bench biologists delivered as part of the EMBL Australia Masterclass on Protein Sequence Analysis http://oz-masterclass.wikispaces.com/ . Focuses on using UniProt to explore different reasons why information inferred by "direct assay" and "prediction" could be wrong, and what we can do to spot it. Introduction bioinformatics Bench biologists 2013-10-23 2017-10-09
Interpreting Phylogenies

Content for a one-day course delivered in April 2013 at the University of Cambridge, together with Sarah Parks, Cilia Antoniou, and Adrian Friday. Uses examples taken from several published papers to explore some of the assumptions and concepts we use when presenting and interpreting phylogenetic...

Keywords: Molecular evolution, Phylogenetics

Interpreting Phylogenies https://tess.elixir-europe.org/materials/interpreting-phylogenies Content for a one-day course delivered in April 2013 at the University of Cambridge, together with Sarah Parks, Cilia Antoniou, and Adrian Friday. Uses examples taken from several published papers to explore some of the assumptions and concepts we use when presenting and interpreting phylogenetic trees. Includes exercises on visulaising and manipulating trees using Dendroscope and NJplot to reinforce some of these ideas, while also providing a very basic overview of steps involved in a generic phylogenetic analysis. Molecular evolution, Phylogenetics experimeintal biologist researchers field biologist researchers 2013-09-13 2017-10-09