Single cell RNA-seq data analysis using Chipster
This course introduces single cell RNA-seq data analysis. It covers the processing of transcript counts from quality control and filtering to dimensional reduction, clustering, and differential expression analysis. You will also learn how to do integrated analysis of two samples. We use Seurat v3...
Keywords: scRNA-seq
Resource type: Slides, Training materials
Single cell RNA-seq data analysis using Chipster
https://www.csc.fi/web/training/-/single-cell-chipster-2019
https://tess.elixir-europe.org/materials/single-cell-rna-seq-data-analysis-using-chipster
This course introduces single cell RNA-seq data analysis. It covers the processing of transcript counts from quality control and filtering to dimensional reduction, clustering, and differential expression analysis. You will also learn how to do integrated analysis of two samples. We use Seurat v3 tools embedded in the user-friendly Chipster software.
Eija Korpelainen
Maria Lehtivaara
scRNA-seq
Biologists
bioinformaticians
ELIXIR eLearning definitions
Materials from the asynchronous learning course "ELIXIR eLearning definitions"
Keywords: eLearning, training, EeLP
Resource type: course materials, Training materials, Documentation
ELIXIR eLearning definitions
https://elixir.mf.uni-lj.si/course/view.php?id=10
https://tess.elixir-europe.org/materials/elixir-elearning-definitions
Materials from the asynchronous learning course "ELIXIR eLearning definitions"
Brane Leskosek
Jure Dimec
Eija Korpelainen
Teresa Attwood
Sarah Morgan
Nicola Mulder
Celia van Gelder
Patricia Palagi
Brane Leskosek
Jure Dimec
Eija Korpelainen
Teresa Attwood
Sarah Morgan
Nicola Mulder
Celia van Gelder
Patricia Palagi
eLearning, training, EeLP
Researchers
teachers
Trainers
RNA-seq data analysis using Chipster
Materials from the ELIXIR tutorial “RNA-seq data analysis using Chipster”, Jan 31, 2017
Scientific topics: Transcriptomics, Genomics
Keywords: transcriptomics, RNA-Seq, eLearning, EeLP
Resource type: course materials, Training materials, Slides, Video
RNA-seq data analysis using Chipster
https://elixir.mf.uni-lj.si/course/view.php?id=9
https://tess.elixir-europe.org/materials/rna-seq-data-analysis-using-chipster
Materials from the ELIXIR tutorial “RNA-seq data analysis using Chipster”, Jan 31, 2017
Eija Korpelainen
Maria Lehtivaara
Eija Korpelainen
Maria Lehtivaara
Transcriptomics
Genomics
transcriptomics, RNA-Seq, eLearning, EeLP
Researchers
Single cell RNA-seq data analysis with Chipster
This course introduces single cell RNA-seq data analysis methods, tools and file formats. It covers the preprocessing steps of DropSeq data from raw reads to a digital gene expression matrix (DGE), and how to find sub-populations of cells using clustering with the Seurat tools. You will also...
Scientific topics: RNA-Seq
Keywords: RNA-Seq, Single Cell technologies, scRNA-seq
Resource type: course materials, Video
Single cell RNA-seq data analysis with Chipster
https://chipster.csc.fi/manual/courses.html#single-cell
https://tess.elixir-europe.org/materials/single-cell-rna-seq-data-analysis-with-chipster-6cc8f0fb-1c92-444b-ab19-b04fe6454430
This course introduces single cell RNA-seq data analysis methods, tools and file formats. It covers the preprocessing steps of DropSeq data from raw reads to a digital gene expression matrix (DGE), and how to find sub-populations of cells using clustering with the Seurat tools. You will also learn how to compare two samples and detect conserved cluster markers and differentially expressed genes in them. The user-friendly Chipster software is used in the exercises, so no Unix or R experience is required and the course is thus suitable for everybody.
Eija Korpelainen
Maria Lehtivaara
Eija Korpelainen
RNA-Seq
RNA-Seq, Single Cell technologies, scRNA-seq
Biologists
bioinformaticians
InterMine user tutorial
A tutorial for end users of InterMine
Keywords: Data querying, Data analysis, Data download, FAIR
Resource type: Tutorial
InterMine user tutorial
https://figshare.com/articles/InterMine_training_slides/4737313
https://tess.elixir-europe.org/materials/intermine-user-tutorial
A tutorial for end users of InterMine
Rachel Lyne
Yo Yehudi
Julie Sullivan
Data querying, Data analysis, Data download, FAIR
Life Science Researchers
Bioinformaticians
InterMine user manual
Documentation for end users on how to search for data, run simple and complex queries, analyse results and download data from any instance of InterMine.
Keywords: Data querying, data visualization, Data download, FAIR
Resource type: Documentation
InterMine user manual
http://flymine.readthedocs.io/en/latest
https://tess.elixir-europe.org/materials/intermine-user-manual
Documentation for end users on how to search for data, run simple and complex queries, analyse results and download data from any instance of InterMine.
Rachel Lyne
Julie Sullivan
Gos Micklem
Sergio Contrino
Yo Yehudi
Daniela Butano
Justin Clark-Casey
Data querying, data visualization, Data download, FAIR
Life Science Researchers
Bioinformaticians
InterMine operator manual
Documentation on how to install, configure and operate an InterMine instance.
Keywords: Data integration, Data analysis, Data publishing, FAIR
Resource type: Documentation
InterMine operator manual
http://intermine.readthedocs.io/en/latest
https://tess.elixir-europe.org/materials/intermine-operator-manual
Documentation on how to install, configure and operate an InterMine instance.
Julie Sullivan
Gos Micklem
Yo Yehudi
Sergio Contrino
Rachel Lyne
Daniela Butano
Justin Clark-Casey
Kevin Herald Reierskog
Data integration, Data analysis, Data publishing, FAIR
Bioinformaticians
software engineers
Informatics on High-Throughput Sequencing Data 2018 Module 6-De Novo Assmebly
Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads.
Informatics on High-Throughput Sequencing Data 2018 Module 6-De Novo Assmebly
https://bioinformaticsdotca.github.io/htseq_2018
https://tess.elixir-europe.org/materials/informatics-on-high-throughput-sequencing-data-2018-module-6-de-novo-assmebly
Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads.
Jared Simpson
Researchers
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Graduate students
Informatics on High-Throughput Sequencing Data 2018 Module 1-Introduction to High-Throughput Sequencing
Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads.
Informatics on High-Throughput Sequencing Data 2018 Module 1-Introduction to High-Throughput Sequencing
https://bioinformaticsdotca.github.io/htseq_2018
https://tess.elixir-europe.org/materials/informatics-on-high-throughput-sequencing-data-2018-module-1-introduction-to-high-throughput-sequencing
Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads.
Jared Simpson
Researchers
Graduate students
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Bioinformatics for Cancer Genomics 2018 Module 5-Genome Assembly
Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud.
Bioinformatics for Cancer Genomics 2018 Module 5-Genome Assembly
https://bioinformaticsdotca.github.io/bicg_2018
https://tess.elixir-europe.org/materials/bioinformatics-for-cancer-genomics-2018-module-5-genome-assembly
Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud.
Jared Simpson
Researchers
Graduate students
Biologists, Genomicists, Computer Scientists
Post-Doctoral Fellows
Bioinformatics for Cancer Genomics 2018 Module 4-Genome Alignment
Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud.
Bioinformatics for Cancer Genomics 2018 Module 4-Genome Alignment
https://bioinformaticsdotca.github.io/bicg_2018
https://tess.elixir-europe.org/materials/bioinformatics-for-cancer-genomics-2018-module-4-genome-alignment
Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud.
Jared Simpson
Researchers
Graduate students
Biologists, Genomicists, Computer Scientists
Post-Doctoral Fellows
Bioinformatics for Cancer Genomics 2017 Module 3-Genome Alignment and Assembly
Course covers the bioinformatics tools required to analyze genomic data sets.
Bioinformatics for Cancer Genomics 2017 Module 3-Genome Alignment and Assembly
https://bioinformaticsdotca.github.io//bicg_2017
https://tess.elixir-europe.org/materials/bioinformatics-for-cancer-genomics-2017-module-3-genome-alignment-and-assembly
Course covers the bioinformatics tools required to analyze genomic data sets.
Jared Simpson
Researchers
Graduate students
Biologists, Genomicists, Computer Scientists
Post-Doctoral Fellows
Informatics on High-Throughput Sequencing Data 2017 Module 6-De Novo Assembly
Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads.
Informatics on High-Throughput Sequencing Data 2017 Module 6-De Novo Assembly
https://bioinformaticsdotca.github.io/htseq_2017
https://tess.elixir-europe.org/materials/informatics-on-high-throughput-sequencing-data-2017-module-6-de-novo-assembly
Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads.
Jared Simpson
Researchers
Graduate Students
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Informatics on High-Throughput Sequencing Data 2017 Module 1-Introduction to High-Throughput Sequencing
Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads.
Informatics on High-Throughput Sequencing Data 2017 Module 1-Introduction to High-Throughput Sequencing
https://bioinformaticsdotca.github.io/htseq_2017
https://tess.elixir-europe.org/materials/informatics-on-high-throughput-sequencing-data-module-1-introduction-to-high-throughput-sequencing
Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads.
Jared Simpson
Researchers
Graduate students
Biologists, Genomicists, Computer Scientists
Post-Doctoral Fellows
High-Throughput Biology 2017 Module 6-De Novo Assembly
Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.
High-Throughput Biology 2017 Module 6-De Novo Assembly
https://bioinformaticsdotca.github.io/high-throughput_biology_2017
https://tess.elixir-europe.org/materials/high-throughput-biology-2017-module-6-de-novo-assembly
Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.
Jared Simpson
Researchers
Graduate students
Biologists, Genomicists, Computer Scientists
Post-Doctoral Fellows
High-Throughput Biology 2017 Module 1-Introduction to High-Throughput Sequencing
Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.
High-Throughput Biology 2017 Module 1-Introduction to High-Throughput Sequencing
https://bioinformaticsdotca.github.io/high-throughput_biology_2017
https://tess.elixir-europe.org/materials/high-throughput-biology-2017-module-1-introduction-to-high-throughput-sequencing
Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.
Jared Simpson
Graduate students
Post-Doctoral Fellows
Researchers
Biologists, Genomicists, Computer Scientists
Data Manipulation - Collections: Multisample Analysis
A collection of microtutorials explaining data manipulation within Galaxy
Data Manipulation - Collections: Multisample Analysis
http://galaxyproject.github.io/training-material/topics/galaxy-data-manipulation/tutorials/processing-many-samples-at-once/tutorial.html
https://tess.elixir-europe.org/materials/data-manipulation-collections-multisample-analysis
A collection of microtutorials explaining data manipulation within Galaxy
nekrut
pajanne
Data Manipulation - Collections: Using dataset collection
A collection of microtutorials explaining data manipulation within Galaxy
Questions of the tutorial:
- How to manipulate large numbers of datasets at once?
Objectives of the tutorial:
- Understand and master dataset collections
Data Manipulation - Collections: Using dataset collection
http://galaxyproject.github.io/training-material/topics/galaxy-data-manipulation/tutorials/collections/tutorial.html
https://tess.elixir-europe.org/materials/data-manipulation-collections-using-dataset-collection
A collection of microtutorials explaining data manipulation within Galaxy
Questions of the tutorial:
- How to manipulate large numbers of datasets at once?
Objectives of the tutorial:
- Understand and master dataset collections
nekrut
User Interface and Features - Histories: Understanding Galaxy history system
A collection of microtutorials explaining various features of the Galaxy user interface
Questions of the tutorial:
- How do Galaxy histories work?
Objectives of the tutorial:
- Gain understanding on navigating and manipulating histories
User Interface and Features - Histories: Understanding Galaxy history system
http://galaxyproject.github.io/training-material/topics/galaxy-ui/tutorials/history/tutorial.html
https://tess.elixir-europe.org/materials/user-interface-and-features-histories-understanding-galaxy-history-system
A collection of microtutorials explaining various features of the Galaxy user interface
Questions of the tutorial:
- How do Galaxy histories work?
Objectives of the tutorial:
- Gain understanding on navigating and manipulating histories
nekrut
Assembly - Making sense of a newly assembled genome
DNA sequence data has become an indispensable tool for Molecular Biology & Evolutionary Biology. Study in these fields now require a genome sequence to work from. We call this a 'Reference Sequence.' We need to build a reference for each species. We do this by Genome Assembly. De novo Genome...
Assembly - Making sense of a newly assembled genome
http://galaxyproject.github.io/training-material/topics/assembly/tutorials/ecoli_comparison/tutorial.html
https://tess.elixir-europe.org/materials/assembly-making-sense-of-a-newly-assembled-genome
DNA sequence data has become an indispensable tool for Molecular Biology & Evolutionary Biology. Study in these fields now require a genome sequence to work from. We call this a 'Reference Sequence.' We need to build a reference for each species. We do this by Genome Assembly. De novo Genome Assembly is the process of reconstructing the original DNA sequence from the fragment reads alone.
Questions of the tutorial:
- I just assembled a genome. How does it compare with already sequenced genomes?
- How do I find rearranged, inserted, or deleted regions?
Objectives of the tutorial:
- Identification of the most closely related genome to my new assembly
- Perform sequence comparison to locate rearrangements
- Identify genes located in deletions
nekrut
delphine-l
Community analysis of amplicon sequencing data (16S rRNA)
This course introduces community analysis of amplicon sequencing data (16S rRNA). It covers preprocessing, taxonomic classification, and statistical analysis for marker gene studies. The user-friendly Chipster software is used in the exercises, so no Unix or R experience is required and the...
Resource type: course materials, Video
Community analysis of amplicon sequencing data (16S rRNA)
https://chipster.csc.fi/manual/courses.html#16S
https://tess.elixir-europe.org/materials/community-analysis-of-amplicon-sequencing-data-16s-rrna
This course introduces community analysis of amplicon sequencing data (16S rRNA). It covers preprocessing, taxonomic classification, and statistical analysis for marker gene studies. The user-friendly Chipster software is used in the exercises, so no Unix or R experience is required and the course is thus suitable for everybody.
Eija Korpelainen
Maria Lehtivaara
Jarno Tuimala
Anu Mikkonen
Virus detection using small RNA-seq
This course introduces the VirusDetect pipeline covering all the analysis steps and file formats. VirusDetect allows you to detect known viruses and identify news ones by sequencing small RNAs (siRNA) in host samples. siRNA sequences are assembled to contigs and compared to known virus sequences....
Scientific topics: RNA-Seq
Resource type: course materials, Video
Virus detection using small RNA-seq
https://chipster.csc.fi/manual/courses.html#virusdetect
https://tess.elixir-europe.org/materials/virus-detection-using-small-rna-seq
This course introduces the VirusDetect pipeline covering all the analysis steps and file formats. VirusDetect allows you to detect known viruses and identify news ones by sequencing small RNAs (siRNA) in host samples. siRNA sequences are assembled to contigs and compared to known virus sequences. The user-friendly Chipster software is used in the exercises, so no Unix or R experience is required and the course is thus suitable for everybody.
Eija Korpelainen
Eija Korpelainen
RNA-Seq
RNA-seq data analysis
This course introduces RNA-seq data analysis methods, tools and file formats. It covers all the steps from quality control and alignment to quantification and differential expression analysis, and also experimental design is discussed. The user-friendly Chipster software is used in the exercises,...
Scientific topics: RNA-Seq
Resource type: course materials, Video
RNA-seq data analysis
https://chipster.csc.fi/manual/courses.html#rna
https://tess.elixir-europe.org/materials/rna-seq-data-analysis-with-chipster
This course introduces RNA-seq data analysis methods, tools and file formats. It covers all the steps from quality control and alignment to quantification and differential expression analysis, and also experimental design is discussed. The user-friendly Chipster software is used in the exercises, so no Unix or R experience is required and the course is thus suitable for everybody.
Eija Korpelainen
Maria Lehtivaara
Eija Korpelainen
RNA-Seq
Metagenomics data analysis
This course covers metagenomics analysis from quality control, filtering and assembly to taxonomic classification, functional assignment and comparative metagenomics. In addition to covering the analysis of whole genome shotgun sequencing data, the course has also module on community analysis of...
Scientific topics: Metagenomics
Resource type: Video, course materials
Metagenomics data analysis
https://www.csc.fi/web/training/-/metagenomics
https://tess.elixir-europe.org/materials/metagenomics-data-analysis
This course covers metagenomics analysis from quality control, filtering and assembly to taxonomic classification, functional assignment and comparative metagenomics. In addition to covering the analysis of whole genome shotgun sequencing data, the course has also module on community analysis of amplicon sequencing data (16S rRNA). Finally, international databases and standards for storing the data are introduced. The course material includes slides, exercises and lecture videos.
The workshop is organized in collaboration with the ELIXIR EXCELERATE project and PRACE, and it is part of the PRACE Advanced Training Centre activity.
Eija Korpelainen
Nils Peder Willassen
Espen Mikal Robertsen
Erik Hjerde
Rob Finn
Anu Mikkonen
Jenni Hultman
Petri Auvinen
Kimmo Mattila
Maria Lehtivaara
Jarno Tuimala
Eija Korpelainen
Metagenomics
Variant Analysis - Calling very rare variants
Exome sequencing means that all protein-coding genes in a genome are sequenced
Questions of the tutorial:
- What frequency of variants is so low that it is obscured by sequencing error rate?
- What are the different types of consensus sequences produced from duplex sequencing?
Objectives of...
Variant Analysis - Calling very rare variants
http://galaxyproject.github.io/training-material/topics/variant-analysis/tutorials/dunovo/tutorial.html
https://tess.elixir-europe.org/materials/variant-analysis-calling-very-rare-variants
Exome sequencing means that all protein-coding genes in a genome are sequenced
Questions of the tutorial:
- What frequency of variants is so low that it is obscured by sequencing error rate?
- What are the different types of consensus sequences produced from duplex sequencing?
Objectives of the tutorial:
- Processing raw duplex sequencing data into consensus sequences
- Find rare variants without relying on diploid assumptions
nekrut
NickSto
Variant Analysis - Calling variants in diploid systems
Exome sequencing means that all protein-coding genes in a genome are sequenced
Questions of the tutorial:
- How to find variable sites in diploid genomes?
Objectives of the tutorial:
- Using Galaxy's main site we will see how to call variants in human genome.
Variant Analysis - Calling variants in diploid systems
http://galaxyproject.github.io/training-material/topics/variant-analysis/tutorials/dip/tutorial.html
https://tess.elixir-europe.org/materials/variant-analysis-calling-variants-in-diploid-systems
Exome sequencing means that all protein-coding genes in a genome are sequenced
Questions of the tutorial:
- How to find variable sites in diploid genomes?
Objectives of the tutorial:
- Using Galaxy's main site we will see how to call variants in human genome.
nekrut
Variant Analysis - Calling variants in non-diploid systems
Exome sequencing means that all protein-coding genes in a genome are sequenced
Questions of the tutorial:
- How does frequency of mitochondrial polymorphisms change from mother to child?
Objectives of the tutorial:
- Using Galaxy's main site we will see how to call variants in bacteria,...
Variant Analysis - Calling variants in non-diploid systems
http://galaxyproject.github.io/training-material/topics/variant-analysis/tutorials/non-dip/tutorial.html
https://tess.elixir-europe.org/materials/variant-analysis-calling-variants-in-non-diploid-systems
Exome sequencing means that all protein-coding genes in a genome are sequenced
Questions of the tutorial:
- How does frequency of mitochondrial polymorphisms change from mother to child?
Objectives of the tutorial:
- Using Galaxy's main site we will see how to call variants in bacteria, viruses, and organelles.
nekrut
Introduction to Galaxy Analyses - NGS data logistics
Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience.
Questions of the tutorial:
- How to manipulate and process...
Introduction to Galaxy Analyses - NGS data logistics
http://galaxyproject.github.io/training-material/topics/introduction/tutorials/galaxy-intro-ngs-data-managment/tutorial.html
https://tess.elixir-europe.org/materials/introduction-to-galaxy-ngs-data-logistics
Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience.
Questions of the tutorial:
- How to manipulate and process NGS data
Objectives of the tutorial:
- Learn about Fastq, SAM, and BAM.
nekrut
Introduction to Galaxy - Understanding Galaxy history system
Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience.
Questions of the tutorial:
- How do Galaxy histories...
Introduction to Galaxy - Understanding Galaxy history system
http://galaxyproject.github.io/training-material/topics/introduction/tutorials/galaxy-intro-history/tutorial.html
https://tess.elixir-europe.org/materials/introduction-to-galaxy-understanding-galaxy-history-system
Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience.
Questions of the tutorial:
- How do Galaxy histories work?
Objectives of the tutorial:
- Gain understanding on navigating and manipulating histories
nekrut
Transcriptomics - Reference-based RNAseq data analysis (long)
Training material for all kinds of transcriptomics analysis.
Questions of the tutorial:
- How to perform analysis of RNAseq data when reference genome is available?
Objectives of the tutorial:
- Learns basic concepts of RNAseq analysis
Transcriptomics - Reference-based RNAseq data analysis (long)
http://galaxyproject.github.io/training-material/topics/transcriptomics/tutorials/rb-rnaseq/tutorial.html
https://tess.elixir-europe.org/materials/transcriptomics-reference-based-rnaseq-data-analysis-long
Training material for all kinds of transcriptomics analysis.
Questions of the tutorial:
- How to perform analysis of RNAseq data when reference genome is available?
Objectives of the tutorial:
- Learns basic concepts of RNAseq analysis
nekrut