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Authors: Obi Griffith  or blankclemens  or Martin Morgan  or Bruno Gaeta  or Yo Yehudi  or Will Hsiao  or Christine Staiger 


Surprises from scalable container and cloud-based R / Bioconductor deployments

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

Surprises from scalable container and cloud-based R / Bioconductor deployments https://tess.elixir-europe.org/materials/surprises-from-scalable-container-and-cloud-based-r-bioconductor-deployments 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 to Persistent Identifiers

Module also available as self-study material in data carpentry style

Scientific topics: Data management

Keywords: system relevant metadata for data, PID metadata, Python API pyhandle, Persistent Identifiers

Resource type: course materials

Introduction to Persistent Identifiers https://tess.elixir-europe.org/materials/introduction-to-persistent-identifiers Module also available as self-study material in data carpentry style Data management system relevant metadata for data, PID metadata, Python API pyhandle, Persistent Identifiers data stewards data managers bioinformaticians
Helis Academy - Persistent identifiers and their use cases

Managing increasing numbers of data objects Sharing data from different sourcesamongst researchers Data needs to be (globally) identifiable and addressable to ensure reuse of data Data citation Linking data from different source

Keywords: Referencing data and code, Findability of data and code, Identifying data and code

Resource type: Slides

Helis Academy - Persistent identifiers and their use cases https://tess.elixir-europe.org/materials/persistent-identifiers-and-their-use-cases Managing increasing numbers of data objects Sharing data from different sourcesamongst researchers Data needs to be (globally) identifiable and addressable to ensure reuse of data Data citation Linking data from different source Referencing data and code, Findability of data and code, Identifying data and code data stewards Life Science Researchers bioinformaticians
Helis Academy - Data Sharing, publishing and archiving

Basic knowledge of: o Know what a repository is o Characteristics of Data Sharing, Archiving and Publishing o Knowledge of major platforms for Sharing, Archiving and Publishing Hands on experience: o Dataverse possibilities for sharing and publishing o Designing requirements digital...

Keywords: data sharing, Data publishing, data archiving, data repositories

Resource type: Slides

Helis Academy - Data Sharing, publishing and archiving https://tess.elixir-europe.org/materials/data-sharing-publishing-and-archiving Basic knowledge of: o Know what a repository is o Characteristics of Data Sharing, Archiving and Publishing o Knowledge of major platforms for Sharing, Archiving and Publishing Hands on experience: o Dataverse possibilities for sharing and publishing o Designing requirements digital archives o Finding your ideal archive data sharing, Data publishing, data archiving, data repositories
Introduction to FAIR data stewardship

FAIR data Stewardship: How to improve the reuse of nanosafety data

Scientific topics: Data management

Keywords: FAIR

Introduction to FAIR data stewardship https://tess.elixir-europe.org/materials/introduction-to-fair-data-stewardship FAIR data Stewardship: How to improve the reuse of nanosafety data Data management FAIR Life Science Researchers
Evening session: Efficient 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: Big data

Evening session: Efficient R https://tess.elixir-europe.org/materials/evening-session-efficient-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. Big data
Lab 9-1: Efficient and Parallel Evaluation

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: Big data

Lab 9-1: Efficient and Parallel Evaluation https://tess.elixir-europe.org/materials/lab-9-1-efficient-and-parallel-evaluation 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. Big data
Lecture 20-1: Working with Large 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...

Keywords: Big data

Lecture 20-1: Working with Large Data https://tess.elixir-europe.org/materials/lecture-20-1-working-with-large-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. Big data
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
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
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
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
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
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
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.
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.