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19 materials found

Keywords: Exploratory-analysis  or Metagenomics 


Lab: Phyloseq Basic Usage for Metagenomics

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: Metagenomics

Lab: Phyloseq Basic Usage for Metagenomics https://tess.elixir-europe.org/materials/lab-phyloseq-basic-usage-for-metagenomics 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. Metagenomics
Exercices on Galaxy: metagenomics

Find Rapidly OTU with Galaxy Solution

Keywords: Galaxy, Metagenomics

Exercices on Galaxy: metagenomics https://tess.elixir-europe.org/materials/exercices-on-galaxy-metagenomics Find Rapidly OTU with Galaxy Solution Galaxy, Metagenomics
Training on Galaxy : Metagenomics

Find Rapidly OTU with Galaxy Solution

Keywords: Galaxy, Metagenomics

Training on Galaxy : Metagenomics https://tess.elixir-europe.org/materials/training-on-galaxy-metagenomics Find Rapidly OTU with Galaxy Solution Galaxy, Metagenomics
RNA-seq module Frederik Coppens

Material concerning RNA-seq analysis, with an emphasis on the statistical aspects.

Keywords: FASTQ, Alignment, BAM, Differential-expression, Statistical-model, Exploratory-analysis

RNA-seq module Frederik Coppens https://tess.elixir-europe.org/materials/rna-seq-module-frederik-coppens-4a328fa8-0bef-471c-84e4-b0d89d216128 Material concerning RNA-seq analysis, with an emphasis on the statistical aspects. FASTQ, Alignment, BAM, Differential-expression, Statistical-model, Exploratory-analysis
Metagenomics 2015

Link to the GitHub repo containing all the publicly available files from the 2015 Metagenomics course held at TGAC in November 2015

Scientific topics: Metagenomics

Keywords: Metagenomics

Metagenomics 2015 https://tess.elixir-europe.org/materials/metagenomics-2015 Link to the GitHub repo containing all the publicly available files from the 2015 Metagenomics course held at TGAC in November 2015 Metagenomics Metagenomics PhD post-docs 2015-11-23 2017-10-09
TGAC Metagenomics: From bench to data analysis

This course took place at TGAC on 8-12 September 2014 What is the workshop about? A substantial part of the course will be devoted to bioinformatics resources and tools relevant in metagenomics data analysis. Participants will start at the bench and end in front of the computers for a problem...

Scientific topics: Metagenomics

Keywords: Metagenomics

TGAC Metagenomics: From bench to data analysis https://tess.elixir-europe.org/materials/tgac-metagenomics-from-bench-to-data-analysis This course took place at TGAC on 8-12 September 2014 What is the workshop about? A substantial part of the course will be devoted to bioinformatics resources and tools relevant in metagenomics data analysis. Participants will start at the bench and end in front of the computers for a problem solving activity utilizing the bioinformatics training they will be receiving during the course. What will it cover? To provide an overview of the main aspects involved in metagenomics from the bench to data analysis and discussion around the interpretation and actual examples of the impact and applications of metagenomics derived research Target Audience: This course is aimed at advanced PhD students and post-doctoral researchers who are doing or planning to start research in the field of metagenomics. Metagenomics Metagenomics PhD postdocs 2015-06-25 2017-10-09
Metagenome data analysis Workshop, May 21-23, 2014

SciLifelab and AllBio are arranging a workshop on the analysis and interpretation of metagenomics data. In this workshop we will combine talks by experts in the field with practical tutorials guiding the participants in the analysis of representative datasets. Speakers: Lex Nederbragt, Oslo...

Keywords: Allbio, Assembly, Binning, Bioinformatics, Data analysis, Metagenomics

Metagenome data analysis Workshop, May 21-23, 2014 https://tess.elixir-europe.org/materials/metagenome-data-analysis-workshop-may-21-23-2014 SciLifelab and AllBio are arranging a workshop on the analysis and interpretation of metagenomics data. In this workshop we will combine talks by experts in the field with practical tutorials guiding the participants in the analysis of representative datasets. Speakers: Lex Nederbragt, Oslo University, Norway, Saskia Smits, Erasmus University Rotterdam, Netherlands, Joakim Larsson, Göteborg University, Sweden Paul Wilmes, University of Luxembourg, Luxembourg, Anders Andersson, SciLifeLab, Sweden Noan Le Bescot, UPMC (Tara expedition), France Tutorial supervisors: Ino de Bruijn, SciLifeLab, Sweden Johannes Alneberg, SciLifeLab, Sweden Luisa Hugerth, SciLifeLab, Sweden Johan Bengtsson, Göteborg University, Sweden Mikael Huss, SciLifeLab, Sweden Venue: Science for Life Laboratory, Tomtebodavägen 23A, 17165 Solna, Sweden Conference room Air/Fire, Gamma building Organisers: Mikael Huss (mikael.huss@scilifelab.se) Thomas Svensson (thomas.svensson@scilifelab.se) Allbio, Assembly, Binning, Bioinformatics, Data analysis, Metagenomics 2014-09-29 2017-10-09
Variant-calling

No description available

Keywords: Alignment, Annotation, BAM, BCF, De-novo-transcriptome-assembly, Exploratory-analysis, FASTQ, Pre-processing, QC, Statistical-model, Variant-calling, VCF

Variant-calling https://tess.elixir-europe.org/materials/variant-calling No description available Alignment, Annotation, BAM, BCF, De-novo-transcriptome-assembly, Exploratory-analysis, FASTQ, Pre-processing, QC, Statistical-model, Variant-calling, VCF
Day 4 - RNA-Seq Analysis

Day 4 focuses on the final steps after production of significant gene lists, including gene clustering, visualization, and annotation.

Keywords: Exploratory-analysis, Differential-expression, Statistical-model, Annotation

Day 4 - RNA-Seq Analysis https://tess.elixir-europe.org/materials/day-4-rna-seq-analysis Day 4 focuses on the final steps after production of significant gene lists, including gene clustering, visualization, and annotation. Exploratory-analysis, Differential-expression, Statistical-model, Annotation
Statistics and RNA-Seq

This lecture and optional practical introduce the relevant statistical concepts along with its computational counterparts used on a common RNA-Seq data analysis workflow.

Keywords: FASTQ, Alignment, BAM, Differential-expression, Statistical-model, Exploratory-analysis

Statistics and RNA-Seq https://tess.elixir-europe.org/materials/statistics-and-rna-seq This lecture and optional practical introduce the relevant statistical concepts along with its computational counterparts used on a common RNA-Seq data analysis workflow. FASTQ, Alignment, BAM, Differential-expression, Statistical-model, Exploratory-analysis
Material for the course RNA-seq data analysis with Chipster

This material covers the whole RNA-seq data analysis pipeline, from quality control of raw reads to differential expression analysis.

Scientific topics: RNA-Seq

Keywords: RNA-Seq, FASTQ, QC, Pre-processing, Alignment, BAM, Expression-estimation, Feature-summarisation, Differential-expression, Statistical-model, Exploratory-analysis

Material for the course RNA-seq data analysis with Chipster https://tess.elixir-europe.org/materials/material-for-the-course-rna-seq-data-analysis-with-chipster This material covers the whole RNA-seq data analysis pipeline, from quality control of raw reads to differential expression analysis. RNA-Seq RNA-Seq, FASTQ, QC, Pre-processing, Alignment, BAM, Expression-estimation, Feature-summarisation, Differential-expression, Statistical-model, Exploratory-analysis
Day 3 - RNA-Seq Analysis

Day 3 focuses on statistical analysis of RNA-Seq data and identification of differentiall expressed genes in multiple comparisons.

Keywords: QC, Exploratory-analysis, Differential-expression, Statistical-model, Pre-processing

Day 3 - RNA-Seq Analysis https://tess.elixir-europe.org/materials/day-3-rna-seq-analysis Day 3 focuses on statistical analysis of RNA-Seq data and identification of differentiall expressed genes in multiple comparisons. QC, Exploratory-analysis, Differential-expression, Statistical-model, Pre-processing
RNA-Seq Analysis with Biocluster and R

Sequencing of RNA (RNA-Seq) is the latest method to assess global gene expression because it

Scientific topics: RNA-Seq

Keywords: RNA-Seq, Alignment, Annotation, BAM, Differential-expression, Exploratory-analysis, Expression-estimation, FASTA, FASTQ, Feature-summarisation, Pre-processing, QC, Statistical-model

RNA-Seq Analysis with Biocluster and R https://tess.elixir-europe.org/materials/rna-seq-analysis-with-biocluster-and-r Sequencing of RNA (RNA-Seq) is the latest method to assess global gene expression because it RNA-Seq RNA-Seq, Alignment, Annotation, BAM, Differential-expression, Exploratory-analysis, Expression-estimation, FASTA, FASTQ, Feature-summarisation, Pre-processing, QC, Statistical-model
Material provided by Charlotte Soneson

This folder contains material provided by Charlotte Soneson. The following material is included:

Scientific topics: RNA-Seq

Keywords: RNA-Seq, Differential-expression, Statistical-model, Exploratory-analysis

Material provided by Charlotte Soneson https://tess.elixir-europe.org/materials/material-provided-by-charlotte-soneson This folder contains material provided by Charlotte Soneson. The following material is included: RNA-Seq RNA-Seq, Differential-expression, Statistical-model, Exploratory-analysis
RNA-seq module Eija Korpelainen

All material concerning RNA-seq data analysis with Chipster

Keywords: FASTQ, QC, Pre-processing, Alignment, BAM, Expression-estimation, Feature-summarisation, Differential-expression, Statistical-model, Exploratory-analysis

RNA-seq module Eija Korpelainen https://tess.elixir-europe.org/materials/rna-seq-module-eija-korpelainen All material concerning RNA-seq data analysis with Chipster FASTQ, QC, Pre-processing, Alignment, BAM, Expression-estimation, Feature-summarisation, Differential-expression, Statistical-model, Exploratory-analysis
Exercises for the course RNA-seq data analysis with Chipster

This practical covers the whole RNA-seq data analysis pipeline, from quality control of raw reads to differential expression analysis, using the free Chipster software. Material updated in Dec 2015.

Keywords: FASTQ, QC, Pre-processing, Alignment, BAM, Expression-estimation, Feature-summarisation, Differential-expression, Statistical-model, Exploratory-analysis

Exercises for the course RNA-seq data analysis with Chipster https://tess.elixir-europe.org/materials/exercises-for-the-course-rna-seq-data-analysis-with-chipster This practical covers the whole RNA-seq data analysis pipeline, from quality control of raw reads to differential expression analysis, using the free Chipster software. Material updated in Dec 2015. FASTQ, QC, Pre-processing, Alignment, BAM, Expression-estimation, Feature-summarisation, Differential-expression, Statistical-model, Exploratory-analysis
Day 2 - RNA-Seq Analysis

Day 2 continues throught the steps in a typical RNA-Seq experiment from alignment to sample QC and count normalization, including a brief overview of the IGV Genome Browser.

Keywords: Alignment, BAM, FASTA, FASTQ, QC, Exploratory-analysis, Feature-summarisation, Pre-processing

Day 2 - RNA-Seq Analysis https://tess.elixir-europe.org/materials/day-2-rna-seq-analysis Day 2 continues throught the steps in a typical RNA-Seq experiment from alignment to sample QC and count normalization, including a brief overview of the IGV Genome Browser. Alignment, BAM, FASTA, FASTQ, QC, Exploratory-analysis, Feature-summarisation, Pre-processing
Lecture slides for the course RNA-seq data analysis with Chipster

This material covers the whole RNA-seq data analysis pipeline, from quality control of raw reads to differential expression analysis. It discusses also experimental design. Material updated in Dec 2015.

Keywords: FASTQ, QC, Pre-processing, Alignment, BAM, Expression-estimation, Feature-summarisation, Differential-expression, Statistical-model, Exploratory-analysis

Lecture slides for the course RNA-seq data analysis with Chipster https://tess.elixir-europe.org/materials/lecture-slides-for-the-course-rna-seq-data-analysis-with-chipster This material covers the whole RNA-seq data analysis pipeline, from quality control of raw reads to differential expression analysis. It discusses also experimental design. Material updated in Dec 2015. FASTQ, QC, Pre-processing, Alignment, BAM, Expression-estimation, Feature-summarisation, Differential-expression, Statistical-model, Exploratory-analysis
Exploratory analysis and downstream analysis

This lecture gives an overview of exploratory analysis (clustering) and supervised analysis (prediction/classification), as well as visualization methods (heatmaps/PCA) and gene set analysis. It also shows how to transform count data to make it more suitable to apply the traditional methods...

Keywords: Statistical-model, Exploratory-analysis

Exploratory analysis and downstream analysis https://tess.elixir-europe.org/materials/exploratory-analysis-and-downstream-analysis This lecture gives an overview of exploratory analysis (clustering) and supervised analysis (prediction/classification), as well as visualization methods (heatmaps/PCA) and gene set analysis. It also shows how to transform count data to make it more suitable to apply the traditional methods developed (e.g.) for microarray data. Statistical-model, Exploratory-analysis