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Lecture 19: 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: GSEA

Lecture 19: Gene Set Enrichment Analysis https://tess.elixir-europe.org/materials/lecture-19-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. GSEA
ELIXIR Beacons (at ISMB / ECCB)

This session describes the complementary activities carried out by both organisations in order to establish and implement a suite of interoperable standards and tools to overcome the technical and regulatory hurdles to aid genomic data-sharing (GA4GH on an international scale, ELIXIR...

Keywords: beacon

Resource type: Slides, Computer Software

ELIXIR Beacons (at ISMB / ECCB) https://tess.elixir-europe.org/materials/elixir-beacons-at-ismb-eccb This session describes the complementary activities carried out by both organisations in order to establish and implement a suite of interoperable standards and tools to overcome the technical and regulatory hurdles to aid genomic data-sharing (GA4GH on an international scale, ELIXIR predominantly on a European scale). Gary Saunders beacon
IUPHAR/BPS Guide to Pharmacology online tutorial

Online tutorial for the IUPHAR/BPS Guide to Pharmacology database

Scientific topics: Drug discovery, Pharmacology

Resource type: PDF

IUPHAR/BPS Guide to Pharmacology online tutorial https://tess.elixir-europe.org/materials/iuphar-bps-guide-to-pharmacology-online-tutorial Online tutorial for the IUPHAR/BPS Guide to Pharmacology database Drug discovery Pharmacology
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.
Orchestrating single cell analysis with 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...

Resource type: Talk

Orchestrating single cell analysis with Bioconductor https://tess.elixir-europe.org/materials/orchestrating-single-cell-analysis-with-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.
Developments in rhdf5

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

Developments in rhdf5 https://tess.elixir-europe.org/materials/developments-in-rhdf5 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.
New Bioconductor packages for HCA 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...

Resource type: Talk

New Bioconductor packages for HCA Analysis https://tess.elixir-europe.org/materials/new-bioconductor-packages-for-hca-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.
State of PCA

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

State of PCA https://tess.elixir-europe.org/materials/state-of-pca 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.
mbkmeans for clustering data with lots of samples

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

mbkmeans for clustering data with lots of samples https://tess.elixir-europe.org/materials/mbkmeans-for-clustering-data-with-lots-of-samples 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.
Ontology issues

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

Ontology issues https://tess.elixir-europe.org/materials/ontology-issues 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
Training on integration of OpenID Connect services to ELIXIR AAI

Materials for hands-on training on connection OpenID Connect relaying party to ELIXIR AAI.

Keywords: AAI, OpenID Connect, Authentication

Training on integration of OpenID Connect services to ELIXIR AAI https://tess.elixir-europe.org/materials/training-on-integration-of-openid-connect-services-to-elixir-aai Materials for hands-on training on connection OpenID Connect relaying party to ELIXIR AAI. AAI, OpenID Connect, Authentication service administrators in organizations that want to make use of ELIXIR AAI
Regular expressions

This course introduces regular expressions and how to search for text patterns in a number of programming languages (UNIX command line, R, Python etc.). It is aimed at colleagues who are going to run analysis programs on their own or wish to use computing clusters.

Regular expressions https://tess.elixir-europe.org/materials/regular-expressions This course introduces regular expressions and how to search for text patterns in a number of programming languages (UNIX command line, R, Python etc.). It is aimed at colleagues who are going to run analysis programs on their own or wish to use computing clusters.
AWK and BASH scripting

This course introduces scripting with AWK and BASH. It is aimed at colleagues who are going to run analysis programs on their own or wish to use computing clusters.

AWK and BASH scripting https://tess.elixir-europe.org/materials/awk-and-bash-scripting This course introduces scripting with AWK and BASH. It is aimed at colleagues who are going to run analysis programs on their own or wish to use computing clusters.
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
Essential Steps of the FAIRification Process

Since 2014, a number of FAIR Stakeholders have developed tools and methods around the FAIRifcation of typical datasets. In the last 5 years, these efforts were field tested in a series of "Bring Your Own Data" Workshops". This material documents the accumulated practical & teaching...

Keywords: FAIR, data stewardship, metadata, linked data

Resource type: Training materials

Essential Steps of the FAIRification Process https://tess.elixir-europe.org/materials/essential-steps-of-the-fairification-process Since 2014, a number of FAIR Stakeholders have developed tools and methods around the FAIRifcation of typical datasets. In the last 5 years, these efforts were field tested in a series of "Bring Your Own Data" Workshops". This material documents the accumulated practical & teaching experiences from BYODS as well as more high-level FAIR awareness trainings. This document was formerly known as the "Big Book of FAIRification". FAIR, data stewardship, metadata, linked data Researchers Support Staff data librarians software developers, bioinformaticians
FAIR Data Stewardship - Data sharing, archiving and publishing

The workshop introduces the concepts and gives hands-on experience with tools which allow safe data sharing, archiving and publishing on example services. Moreover, participants of the workshop explore together different roles which are defined around data publication and how responsibilities...

Keywords: Data Life Cycle, FAIR, data management, data stewardship, data repositories, data sharing, data publication

Resource type: Slides, Training materials

FAIR Data Stewardship - Data sharing, archiving and publishing https://tess.elixir-europe.org/materials/fair-data-stewardship-data-sharing-archiving-and-publishing The workshop introduces the concepts and gives hands-on experience with tools which allow safe data sharing, archiving and publishing on example services. Moreover, participants of the workshop explore together different roles which are defined around data publication and how responsibilities towards data are distributed. The course does not require any prior knowledge. Data Life Cycle, FAIR, data management, data stewardship, data repositories, data sharing, data publication General Interest Scientists Researchers data stewards
Introduction to using cloud and containers for training - OpenStack and Docker oriented view

This material is based on CSC's [Pouta cloud course](https://www.csc.fi/en/web/training/-/pouta-cloud-course-2018) which consists of lectures and hands-on [exercises](https://chipster.csc.fi/material/cloud/exercises.pdf) on creating and managing virtual resources in OpenStack (VM, volumes,...

Keywords: Cloud computing, Containers

Resource type: Slides, course materials

Introduction to using cloud and containers for training - OpenStack and Docker oriented view https://tess.elixir-europe.org/materials/introduction-to-using-cloud-and-containers-for-training-openstack-and-docker-oriented-view This material is based on CSC's [Pouta cloud course](https://www.csc.fi/en/web/training/-/pouta-cloud-course-2018) which consists of lectures and hands-on [exercises](https://chipster.csc.fi/material/cloud/exercises.pdf) on creating and managing virtual resources in OpenStack (VM, volumes, networks, security Groups, VM snapshots, etc). It also covers topics like orchestration with Heat and accessing Pouta Object storage. The original material was produced by Shubham Kapoor and Johan Guldmyr, and it was tailored for trainers by Jarno Laitinen. Eija Korpelainen Cloud computing, Containers Trainers
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
102: Solving common bioinformatic challenges using GenomicRanges

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

102: Solving common bioinformatic challenges using GenomicRanges https://tess.elixir-europe.org/materials/102-solving-common-bioinformatic-challenges-using-genomicranges 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