Register training material
10 materials found

Keywords: Intro  or Clustalw 

and

Authors: Obi Griffith  or blankclemens  or Martin Morgan  or Bruno Gaeta  or Yo Yehudi  or David Wishart 


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
R and Bioconductor for Genomic 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

R and Bioconductor for Genomic Analysis https://tess.elixir-europe.org/materials/r-and-bioconductor-for-genomic-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
Bioconductor Masterclass: Bioconductor Essentials

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

Bioconductor Masterclass: Bioconductor Essentials https://tess.elixir-europe.org/materials/bioconductor-masterclass-bioconductor-essentials 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
Multiple sequence alignment and phylogeny - undergraduate lab

This is lab 4 in a series of labs given as part of an undergraduate "Bioinformatics for biologists" course delivered to 2nd and 3rd year biology and bioinformatics undergraduate students, as part of a course focusing on using bioinformatics tools. Some instructions in it are specific to our lab...

Keywords: Clustalw, Multiple sequence alignment, Phylip, Phylogeny

Multiple sequence alignment and phylogeny - undergraduate lab https://tess.elixir-europe.org/materials/multiple-sequence-alignment-and-phylogeny-undergraduate-lab This is lab 4 in a series of labs given as part of an undergraduate "Bioinformatics for biologists" course delivered to 2nd and 3rd year biology and bioinformatics undergraduate students, as part of a course focusing on using bioinformatics tools. Some instructions in it are specific to our lab environment - including some not so current programs (clustalw, treetool, seaview, phylip) as that's what we have installed at the moment and they're stable, but the content can easily be adapted to other environments and programs. The lab is meant to be easily assessed and I get the students to answer the question in a moodle quiz which makes marking easier. The lab follows some lectures on multiple sequence alignment and molecular phylogeny. Clustalw, Multiple sequence alignment, Phylip, Phylogeny biology and bioinformatics sophomore undergraduates 2013-11-12 2017-10-09