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14 materials found

Authors: Aidan Budd  or Eija Korpelainen 


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 http://tess.elixir-uk.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. 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 http://tess.elixir-uk.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 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 http://tess.elixir-uk.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 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 http://tess.elixir-uk.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 RNA-Seq RNA-Seq, Single Cell technologies, scRNA-seq Biologists bioinformaticians
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) http://tess.elixir-uk.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.
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 http://tess.elixir-uk.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 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 http://tess.elixir-uk.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 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 http://tess.elixir-uk.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 Metagenomics
RNA-seq data analysis: from raw reads to differentially expressed genes

This course material introduces the central concepts, analysis steps and file formats in RNA-seq data analysis. It covers the analysis from quality control to differential expression detection, and workflow construction and several data visualizations are also practised. The material consists of...

Scientific topics: Sequencing, RNA, Data architecture, analysis and design, Bioinformatics

Keywords: Bioinformatics, Differential expression, Ngs, Rna seq

RNA-seq data analysis: from raw reads to differentially expressed genes http://tess.elixir-uk.org/materials/rna-seq-data-analysis-from-raw-reads-to-differentially-expressed-genes This course material introduces the central concepts, analysis steps and file formats in RNA-seq data analysis. It covers the analysis from quality control to differential expression detection, and workflow construction and several data visualizations are also practised. The material consists of 10-30 minute lectures intertwined with hands-on exercises, and it can be accomplished in a day. As the user-friendly Chipster software is used in the exercises, no prior knowledge of R/Bioconductor or Unix ir required, and the course is thus suitable for everybody. Our book RNA-seq data analysis: A practical approach (CRC Press) can be used as background reading. The following topics and analysis tools are covered: 1. Introduction to the Chipster analysis platform 2. Quality control of raw reads (FastQC, PRINSEQ) 3. Preprocessing (Trimmomatic, PRINSEQ) 4. Alignment to reference genome (TopHat2) 5. Alignment level quality control (RseQC) 6. Quantitation (HTSeq) 7. Experiment level quality control with PCA and MDS plots 8. Differential expression analysis (DESeq2, edgeR) -normalization -dispersion estimation -statistical testing -controlling for batch effects, multifactor designs -filtering -multiple testing correction 9. Visualization of reads and results -genome browser -Venn diagram -volcano plot -plotting normalized counts for a gene -expression profiles 10. Experimental design Sequencing RNA Data architecture, analysis and design Bioinformatics Bioinformatics, Differential expression, Ngs, Rna seq Bench biologists Life Science Researchers 2015-12-04 2017-10-09
Introduction to Multiple Sequence Alignments (MSAs) and Phylogenies

Slides used for teaching an introduction to phylogenies and MSAs in the context of phylogenies for the first day of a two-day course on MSAs at Cambridge University, in the UK, in December 2013. Course taught together with Holger Dinkel and Terri Attwood.

Keywords: Molecular evolution, Multiple sequence alignment, Phylogenetics, Protein sequence analysis, Sequence alignment

Introduction to Multiple Sequence Alignments (MSAs) and Phylogenies http://tess.elixir-uk.org/materials/introduction-to-multiple-sequence-alignments-msas-and-phylogenies Slides used for teaching an introduction to phylogenies and MSAs in the context of phylogenies for the first day of a two-day course on MSAs at Cambridge University, in the UK, in December 2013. Course taught together with Holger Dinkel and Terri Attwood. Molecular evolution, Multiple sequence alignment, Phylogenetics, Protein sequence analysis, Sequence alignment Bench biologists Post-Doctoral Fellows Postgraduate students principle investigators 2013-12-19 2017-10-09
Summarising sets of phylogenies

A presentation given as part of the Basic Evolution Workshop, a trans-African virtual training course (described in this BioEssays article PMID: 21312200; the course wiki is here http://molecevol10.wikispaces.com/). Introduces concepts of splits, consensus trees, consensus networks, describes...

Keywords: Bootstrap, Consensus trees, Phylogenetic splits, Phylogenetics

Summarising sets of phylogenies http://tess.elixir-uk.org/materials/summarising-sets-of-phylogenies A presentation given as part of the Basic Evolution Workshop, a trans-African virtual training course (described in this BioEssays article PMID: 21312200; the course wiki is here http://molecevol10.wikispaces.com/). Introduces concepts of splits, consensus trees, consensus networks, describes examples of applications of these tools, along with introducing ideas of tree topology and some terminology associated with it. Designed for remote training. Bootstrap, Consensus trees, Phylogenetic splits, Phylogenetics Bench biologists 2013-10-23 2017-10-09
Introduction to Multiple Sequence Alignment

An introduction to multiple sequence alignments (MSAs) for bench biologists delivered as part of the EMBL Australia Masterclass on Protein Sequence Analysis http://oz-masterclass.wikispaces.com/ . Focuses on describing: the "anatomy" of a sequence alignment; two alternative interpretations of...

Keywords: Multiple sequence analysis, Protein structure, Sequence analysis

Introduction to Multiple Sequence Alignment http://tess.elixir-uk.org/materials/introduction-to-multiple-sequence-alignment An introduction to multiple sequence alignments (MSAs) for bench biologists delivered as part of the EMBL Australia Masterclass on Protein Sequence Analysis http://oz-masterclass.wikispaces.com/ . Focuses on describing: the "anatomy" of a sequence alignment; two alternative interpretations of alignmetns (structural and evolutionary), and ways of building manual and automatic alignments, and an introduction to JalView Multiple sequence analysis, Protein structure, Sequence analysis Bench biologists 2013-10-23 2017-10-09
Introduction to Bioinformatics

An introduction to bioinformatics for bench biologists delivered as part of the EMBL Australia Masterclass on Protein Sequence Analysis http://oz-masterclass.wikispaces.com/ . Focuses on using UniProt to explore different reasons why information inferred by "direct assay" and "prediction" could...

Keywords: Introduction bioinformatics

Introduction to Bioinformatics http://tess.elixir-uk.org/materials/introduction-to-bioinformatics An introduction to bioinformatics for bench biologists delivered as part of the EMBL Australia Masterclass on Protein Sequence Analysis http://oz-masterclass.wikispaces.com/ . Focuses on using UniProt to explore different reasons why information inferred by "direct assay" and "prediction" could be wrong, and what we can do to spot it. Introduction bioinformatics Bench biologists 2013-10-23 2017-10-09
Interpreting Phylogenies

Content for a one-day course delivered in April 2013 at the University of Cambridge, together with Sarah Parks, Cilia Antoniou, and Adrian Friday. Uses examples taken from several published papers to explore some of the assumptions and concepts we use when presenting and interpreting phylogenetic...

Keywords: Molecular evolution, Phylogenetics

Interpreting Phylogenies http://tess.elixir-uk.org/materials/interpreting-phylogenies Content for a one-day course delivered in April 2013 at the University of Cambridge, together with Sarah Parks, Cilia Antoniou, and Adrian Friday. Uses examples taken from several published papers to explore some of the assumptions and concepts we use when presenting and interpreting phylogenetic trees. Includes exercises on visulaising and manipulating trees using Dendroscope and NJplot to reinforce some of these ideas, while also providing a very basic overview of steps involved in a generic phylogenetic analysis. Molecular evolution, Phylogenetics experimeintal biologist researchers field biologist researchers 2013-09-13 2017-10-09