Register training material
106 materials found

Authors: Obi Griffith  or blankclemens  or Martin Morgan  or Bruno Gaeta  or Maria Lehtivaara  or Terri Attwood 


Lab 1: Introduction to R and Bioconductor

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Keywords: introduction

Lab 1: Introduction to R and Bioconductor https://tess.elixir-europe.org/materials/lab-1-introduction-to-r-and-bioconductor Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. introduction
Lecture 1: Introduction to R and Bioconductor

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Keywords: introduction

Lecture 1: Introduction to R and Bioconductor https://tess.elixir-europe.org/materials/lecture-1-introduction-to-r-and-bioconductor Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. introduction
How Bioconductor advances science and contributes to R

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Keywords: Keynote

How Bioconductor advances science and contributes to R https://tess.elixir-europe.org/materials/how-bioconductor-advances-science-and-contributes-to-r Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. Keynote
Work in Progress: Bioconductor and the HCA

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Resource type: Talk

Work in Progress: Bioconductor and the HCA https://tess.elixir-europe.org/materials/work-in-progress-bioconductor-and-the-hca Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.
06: Gene Set Enrichment Analysis

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Keywords: Intro

06: Gene Set Enrichment Analysis https://tess.elixir-europe.org/materials/06-gene-set-enrichment-analysis Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. Intro
05: Bioconductor Annotation Resources

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Keywords: Intro

05: Bioconductor Annotation Resources https://tess.elixir-europe.org/materials/05-bioconductor-annotation-resources Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. Intro
06: Gene Set Enrichment -- Introduction

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Keywords: Intro

06: Gene Set Enrichment -- Introduction https://tess.elixir-europe.org/materials/06-gene-set-enrichment-introduction Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. Intro
04: Practical: Organizing data with SummarizedExperiment

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Keywords: Intro

04: Practical: Organizing data with SummarizedExperiment https://tess.elixir-europe.org/materials/04-practical-organizing-data-with-summarizedexperiment Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. Intro
03: Core approaches in Bioconductor

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Keywords: Intro

03: Core approaches in Bioconductor https://tess.elixir-europe.org/materials/03-core-approaches-in-bioconductor Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. Intro
02: Practical: R / Bioconductor and Reproducible Research

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Keywords: Intro

02: Practical: R / Bioconductor and Reproducible Research https://tess.elixir-europe.org/materials/02-practical-r-bioconductor-and-reproducible-research Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. Intro
01: Introduction to R and Bioconductor

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Keywords: Intro

01: Introduction to R and Bioconductor https://tess.elixir-europe.org/materials/01-introduction-to-r-and-bioconductor Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. Intro
Bioinformatics - the Power of Computers in Biology: A Practical Guide

This Practical Guide in the Bringing Bioinformatics into the Classroom series introduces simple bioinformatics approaches for database searching and sequence analysis. A ‘mystery’ gene is used as an exemplar: we first characterise the gene, then use it to explore the impact of gene loss in...

Scientific topics: Sequence analysis

Keywords: Basic bioinformatics, Basic linux commands, Bioinformatics schools, Gene loss, Genetic mutation, Raspberry pi computers, Sequence analysis, Sequence database searching, Training materials

Bioinformatics - the Power of Computers in Biology: A Practical Guide https://tess.elixir-europe.org/materials/bioinformatics-the-power-of-computers-in-biology-a-practical-guide This Practical Guide in the Bringing Bioinformatics into the Classroom series introduces simple bioinformatics approaches for database searching and sequence analysis. A ‘mystery’ gene is used as an exemplar: we first characterise the gene, then use it to explore the impact of gene loss in humans. Analyses are run both online and at the command line, the latter using Raspberry Pi computers running the 4273π variant of Linux (4273pi.org). Specifically, this Guide introduces a popular Web-based tool for searching biological sequence databases, and shows how similar functionality can be achieved using the Linux command line. On reading the Guide and completing the exercises, users will be able to: i) search biological sequence databases using the online program BLAST, and navigate GenPept sequence records; ii) execute some basic Linux commands to perform a set of simple file-manipulation tasks; iii) perform BLAST searches via the Linux command line; and iv) evaluate the biological implications of search results, with reference to mutations and function. Sequence analysis Basic bioinformatics, Basic linux commands, Bioinformatics schools, Gene loss, Genetic mutation, Raspberry pi computers, Sequence analysis, Sequence database searching, Training materials 2019-06-08
A Critical Guide to the neXtProt knowledgebase: querying using SPARQL

This Critical Guide in the Introduction to Bioinformatics series briefly outlines how to explore the neXtProt human protein database using SPARQL. While text indexation has made database contents more accessible, being able to combine search criteria for specific content permits more powerful...

Scientific topics: Database management

Keywords: Human protein database, Introduction bioinformatics, Introduction nextprot, Nextprot data model, Rdf triples, Semantic triples, Sparql queries, Sparql syntax, Training material

A Critical Guide to the neXtProt knowledgebase: querying using SPARQL https://tess.elixir-europe.org/materials/a-critical-guide-to-the-nextprot-knowledgebase-querying-using-sparql This Critical Guide in the Introduction to Bioinformatics series briefly outlines how to explore the neXtProt human protein database using SPARQL. While text indexation has made database contents more accessible, being able to combine search criteria for specific content permits more powerful querying, and provides a means to mine the information stored in databases. This Guide illustrates the use of the SPARQL semantic query language to interrogate neXtProt and other databases that provide SPARQL endpoints. Specifically, the Guide introduces the concept of database ‘semantic triples’, and examines features of the neXtProt data model. On reading this Guide, and completing the exercises, users will be able to: i) identify key entities within the neXtProt data model; ii) explain what these entities represent, what information they contain and what the information is used for; iii) identify key SPARQL syntax elements; iv) understand SPARQL tutorial examples; and v) write a SPARQL query to retrieve entries matching specific criteria. Database management Human protein database, Introduction bioinformatics, Introduction nextprot, Nextprot data model, Rdf triples, Semantic triples, Sparql queries, Sparql syntax, Training material Beginners 2019-06-06
Developing robust and efficient code

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Keywords: Workshop

Developing robust and efficient code https://tess.elixir-europe.org/materials/developing-robust-and-efficient-code Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. Workshop
R / Bioconductor for open-source analysis and comprehension of high-throughput genomic data

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Resource type: Talk

R / Bioconductor for open-source analysis and comprehension of high-throughput genomic data https://tess.elixir-europe.org/materials/r-bioconductor-for-open-source-analysis-and-comprehension-of-high-throughput-genomic-data Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.
Using Bioinformatics to Understand Genetic Diseases: A Practical Guide

This Practical Guide in the Bringing Bioinformatics into the Classroom series outlines a number of basic bioinformatics approaches that can be used to understand the molecular basis of genetic diseases. A rare variation in the insulin gene is discussed, and the impact of the variation on the gene...

Keywords: Basic bioinformatics, Bioinformatics schools, Gene finding, Genetic mutation, Insulin structure, Sequence alignment, Sequence database searching, Training material

Using Bioinformatics to Understand Genetic Diseases: A Practical Guide https://tess.elixir-europe.org/materials/using-bioinformatics-to-understand-genetic-diseases-a-practical-guide This Practical Guide in the Bringing Bioinformatics into the Classroom series outlines a number of basic bioinformatics approaches that can be used to understand the molecular basis of genetic diseases. A rare variation in the insulin gene is discussed, and the impact of the variation on the gene product, and how this results in disease, is explored. Specifically, this Guide introduces a range of commonly used bioinformatics tools and databases with which to analyse both DNA and protein sequences, and protein structures. On reading the Guide and completing the exercises, users will be able to: i) investigate the locations of genes on the human genome using a genome browser; ii) compare DNA sequences using an alignment tool; iii) translate a DNA sequence into its protein product; iv) search a protein structure database, and visualise the 3D structure of insulin; and v) infer whether insulin is specific to humans by using protein sequence database search tools. Basic bioinformatics, Bioinformatics schools, Gene finding, Genetic mutation, Insulin structure, Sequence alignment, Sequence database searching, Training material 2019-03-18
Working with Ranges infrastructure: annotating and understanding regions

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Operations: Annotation

Working with Ranges infrastructure: annotating and understanding regions https://tess.elixir-europe.org/materials/working-with-ranges-infrastructure-annotating-and-understanding-regions Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.
ChIP-seq Analysis

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Scientific topics: ChIP-seq

ChIP-seq Analysis https://tess.elixir-europe.org/materials/chip-seq-analysis-a09e63fd-d145-4eb1-af5b-30127d21f15e Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. ChIP-seq
Work flows : RNA-Seq

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Scientific topics: RNA-Seq

Work flows : RNA-Seq https://tess.elixir-europe.org/materials/work-flows-rna-seq Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. RNA-Seq
Visualization.

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Operations: Visualisation

Visualization. https://tess.elixir-europe.org/materials/visualization-99cbbeae-48e4-40f5-bd49-50573bf35b1a Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.
Best Practices for Managing R / Bioconductor Scripts

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Keywords: Best Practices

Best Practices for Managing R / Bioconductor Scripts https://tess.elixir-europe.org/materials/best-practices-for-managing-r-bioconductor-scripts Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. Best Practices
Working with Annotations

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Operations: Visualisation

Working with Annotations https://tess.elixir-europe.org/materials/working-with-annotations Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.
Variants

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Operations: Variant calling

Variants https://tess.elixir-europe.org/materials/variants Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.
RNASeq Analysis

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Operations: Annotation

RNASeq Analysis https://tess.elixir-europe.org/materials/rnaseq-analysis Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.
Working with gene and genome annotations

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Operations: Annotation

Working with gene and genome annotations https://tess.elixir-europe.org/materials/working-with-gene-and-genome-annotations Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.
Annotations

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Operations: Annotation

Annotations https://tess.elixir-europe.org/materials/annotations Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.
Accessing Annotation Resources

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Operations: Annotation

Accessing Annotation Resources https://tess.elixir-europe.org/materials/accessing-annotation-resources Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.
Working with Genomic Ranges

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Scientific topics: Genomics

Working with Genomic Ranges https://tess.elixir-europe.org/materials/working-with-genomic-ranges Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. Genomics
Sequence Data Representation

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Keywords: Data Representation

Sequence Data Representation https://tess.elixir-europe.org/materials/sequence-data-representation Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. Data Representation
Bioconductor

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Keywords: R/Bioconductor

Bioconductor https://tess.elixir-europe.org/materials/bioconductor Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. R/Bioconductor