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Contributors: Michael Ball  or Eija Korpelainen  or Prof. Michael J E Sternberg  or Dr. Alexander Lex 


Single cell RNA-seq data analysis with R

This hands-on course introduces the participants to single cell RNA-seq data analysis concepts and popular tools and R packages. It covers the preprocessing steps from raw sequence reads to expression matrix as well as clustering, cell type identification, differential expression analysis and...

Scientific topics: RNA-Seq

Keywords: RNA-Seq, Single Cell technologies, scRNA-seq

Resource type: course materials

Single cell RNA-seq data analysis with R https://tess.elixir-europe.org/materials/single-cell-rna-seq-data-analysis-with-r This hands-on course introduces the participants to single cell RNA-seq data analysis concepts and popular tools and R packages. It covers the preprocessing steps from raw sequence reads to expression matrix as well as clustering, cell type identification, differential expression analysis and pseudotime analysis. Eija Korpelainen RNA-Seq RNA-Seq, Single Cell technologies, scRNA-seq bioinformaticians Biologists
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://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 RNA-Seq RNA-Seq, Single Cell technologies, scRNA-seq Biologists bioinformaticians
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://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 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://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 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://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 Metagenomics
enRoute: BioVis Best Paper

Alexander Lex (http://alexander-lex.com/) talks about enRoute, a tool for dynamic path extraction from biological pathway maps for in-depth experimental data analysis. He highlights the inherent problem with correlating real-life heterogeneous data to pathways, namely that they rarely follow the...

Scientific topics: Pathway or network

Keywords: Pathway

Resource type: Video

enRoute: BioVis Best Paper https://tess.elixir-europe.org/materials/enroute-biovis-best-paper Alexander Lex (http://alexander-lex.com/) talks about enRoute, a tool for dynamic path extraction from biological pathway maps for in-depth experimental data analysis. He highlights the inherent problem with correlating real-life heterogeneous data to pathways, namely that they rarely follow the same topography. enRoute tool allows the investigator to select defined sections of the pathway and display them in a linear fashion to allow for easier navigation of collated data. This talk was presented at VIZBI 2013, an international conference series on visualizing biological data (http://vizbi.org). This video was filmed and distributed with permission under a Creative Commons license. Created at: VIZBI 2013. Dr. Alexander Lex Pathway or network Pathway 2017-01-31
BiVi theme: Molecular

Prof Michael Sternberg introduces bio-visualisation in the Molecular theme from a user perspective at 1st BiVi in 2014. Created at: 1st BiVi Annual Meeting.

Keywords: Molecular

Resource type: Video

BiVi theme: Molecular https://tess.elixir-europe.org/materials/bivi-theme-molecular Prof Michael Sternberg introduces bio-visualisation in the Molecular theme from a user perspective at 1st BiVi in 2014. Created at: 1st BiVi Annual Meeting. Prof. Michael J E Sternberg Molecular 2017-02-01
BBSRC: Data and Data Visualisation

Michael Ball from BBSRC's closing remarks on Data and Data Visualisation from 1st BiVi in 2014. Created at: 1st BiVi Annual Meeting.

Scientific topics: Phylogenetics, Pathway or network

Keywords: Anatomy Physiology and Atlases, Cells and Organisms, Genome, Molecular, Pathway, Phylogenetics, Populations, Information visualisation

Resource type: Video

BBSRC: Data and Data Visualisation https://tess.elixir-europe.org/materials/bbsrc-data-and-data-visualisation Michael Ball from BBSRC's closing remarks on Data and Data Visualisation from 1st BiVi in 2014. Created at: 1st BiVi Annual Meeting. Michael Ball Phylogenetics Pathway or network Anatomy Physiology and Atlases, Cells and Organisms, Genome, Molecular, Pathway, Phylogenetics, Populations, Information visualisation 2017-02-01
BiVi theme: Molecular - Structural molecular graphics

Prof Michael Sternberg introduces the Molecular bio-visualsation session at 2nd BiVi in 2015. Created at: 2nd BiVi Annual Meeting.

Keywords: Molecular

Resource type: Slideshow

BiVi theme: Molecular - Structural molecular graphics https://tess.elixir-europe.org/materials/bivi-theme-molecular-structural-molecular-graphics Prof Michael Sternberg introduces the Molecular bio-visualsation session at 2nd BiVi in 2015. Created at: 2nd BiVi Annual Meeting. Prof. Michael J E Sternberg Molecular 2017-02-03
EzMol and BioBlox: From Resources for Protein Modelling to Educational Computer Games

In this talk Michael Sternberg of Imperial reports how their research on protein modelling has led to the development of computer games with a role in scientific education. At Imperial, Chris Reynolds has developed a web-based molecular graphics resource EzMol which is a simple-to-use display of...

Keywords: Molecular

Resource type: Video

EzMol and BioBlox: From Resources for Protein Modelling to Educational Computer Games https://tess.elixir-europe.org/materials/ezmol-and-bioblox-from-resources-for-protein-modelling-to-educational-computer-games In this talk Michael Sternberg of Imperial reports how their research on protein modelling has led to the development of computer games with a role in scientific education. At Imperial, Chris Reynolds has developed a web-based molecular graphics resource EzMol which is a simple-to-use display of protein structures. In collaboration with Frederic Fol Leymarie, William Latham and their team at Goldsmiths, we have developed the BioBlox suite of scientific-based computer games based around protein docking. BioBox3D is a serious crowd-sourced game for predicting protein/protein docking. BioBlox2D is a fun-to-play game with scientific content for phone/tablet inspired by the recognition between proteins and small molecules. Finally, BioBloxVR is a virtual reality environment for protein docking inspired by BioBlox3D. We are exploring the opportunities for EzMol and BioBlox as educational resources. The projects were supported by the BBSRC. Created at: 3rd BiVi Annual Meeting (2017). Prof. Michael J E Sternberg Molecular 2017-05-15