11 materials found

Scientific topics: Bioinformatics 


EMBL-EBI Train Online

If you work in the life sciences, you may find that you’re spending less time doing experiments and more time analysing huge amounts of biological data. Train online is here to help you do this quickly and efficiently.

Scientific topics: Bioinformatics

Keywords: Bioinformatics, Chemical biology, Cross domain, Dna rna, Gene expression, Literature, Ontologies, Proteins, Structures, Systems

EMBL-EBI Train Online https://tess.elixir-europe.org/materials/embl-ebi-train-online If you work in the life sciences, you may find that you’re spending less time doing experiments and more time analysing huge amounts of biological data. Train online is here to help you do this quickly and efficiently. Bioinformatics Bioinformatics, Chemical biology, Cross domain, Dna rna, Gene expression, Literature, Ontologies, Proteins, Structures, Systems Beginner informatics Life sciences 2018-05-11
STRING exercises

Hands-on exercises using the STRING, STITCH, and DISEASES databases through their respective web interfaces.

Scientific topics: Protein interactions, Molecular interactions, pathways and networks, Bioinformatics

STRING exercises https://tess.elixir-europe.org/materials/string-exercises Hands-on exercises using the STRING, STITCH, and DISEASES databases through their respective web interfaces. Protein interactions Molecular interactions, pathways and networks Bioinformatics Bioinformaticians Biologists
Cytoscape stringApp exercises

Hands-on exercises using the stringApp for Cytoscape to retrieve molecular networks from the STRING and STITCH databases.

Scientific topics: Data visualisation, Proteomics, Protein interactions, Molecular interactions, pathways and networks, Bioinformatics

Cytoscape stringApp exercises https://tess.elixir-europe.org/materials/cytoscape-stringapp-exercises Hands-on exercises using the stringApp for Cytoscape to retrieve molecular networks from the STRING and STITCH databases. John "Scooter" Morris Data visualisation Proteomics Protein interactions Molecular interactions, pathways and networks Bioinformatics Bioinformaticians Biologists
Train the trainer

Train the Trainer course materials

Scientific topics: Bioinformatics, Computational biology

Keywords: training, pedagogy

Train the trainer https://tess.elixir-europe.org/materials/train-the-trainer Train the Trainer course materials Emily Angiolini Jamie Edwards Paul Yorke Bioinformatics Computational biology training, pedagogy Trainers
Galaxy for NGS analysis: A web-based platform for data intensive biological research

Galaxy is an open, web-based platform for data intensive biomedical research. It offers an accessible, reproducible and transparent computational workbench for the biologist. This workbench is very useful in automating repeated analysis steps in the form of workflows. The workbench interface is...

Scientific topics: Workflows, High-throughput sequencing, Nucleic acid sequence analysis, Bioinformatics

Keywords: John Innes Centre, JIC

Galaxy for NGS analysis: A web-based platform for data intensive biological research https://tess.elixir-europe.org/materials/galaxy-for-ngs-analysis Galaxy is an open, web-based platform for data intensive biomedical research. It offers an accessible, reproducible and transparent computational workbench for the biologist. This workbench is very useful in automating repeated analysis steps in the form of workflows. The workbench interface is simple and intuitive, supports collaboration and integrates data and analysis tools together in a single place. Workflows High-throughput sequencing Nucleic acid sequence analysis Bioinformatics John Innes Centre, JIC
A recipe for setting up a free Virtual Machine environment for bioinformatics training and production

This material is a guideline for any bioinformatics group that would like to manage and distribute a cloud environment of virtual machines (VMs) for their users using only free components, if reasonable powerful compute and storage hardware is available. It is also a record of the creation of our...

Scientific topics: Bioinformatics

Keywords: Cloud computing, Virtual machine

A recipe for setting up a free Virtual Machine environment for bioinformatics training and production https://tess.elixir-europe.org/materials/a-recipe-for-setting-up-a-free-virtual-machine-environment-for-bioinformatics-training-and-production This material is a guideline for any bioinformatics group that would like to manage and distribute a cloud environment of virtual machines (VMs) for their users using only free components, if reasonable powerful compute and storage hardware is available. It is also a record of the creation of our own setup which might be improved by sharing and is hopefully useful for others. Bioinformatics Cloud computing, Virtual machine
High-throughput sequencing training materials repository

This repository includes training materials on the analysis of high-throughput sequencing (HTS) data, on the following topics: Introduction to HTS, RNA-seq, ChIP-seq and variant calling analysis. Materials have been annotated following the standards and guidelines proposed at the “Best practices...

Scientific topics: Data architecture, analysis and design, Bioinformatics

Keywords: High throughput sequencing analysis, Rna seq chip seq anayses, Variant calling

High-throughput sequencing training materials repository https://tess.elixir-europe.org/materials/high-throughput-sequencing-training-materials-repository This repository includes training materials on the analysis of high-throughput sequencing (HTS) data, on the following topics: Introduction to HTS, RNA-seq, ChIP-seq and variant calling analysis. Materials have been annotated following the standards and guidelines proposed at the “Best practices in next-generation sequencing data analysis” workshop which took place at the University of Cambridge, UK, on 13-14 January 2015. Following this workshop, a Git repository has been set up for sharing annotated materials. This repository uses Git, hence it is decentralized and self-managed by the community and can be forked/built-upon by all users. Data architecture, analysis and design Bioinformatics High throughput sequencing analysis, Rna seq chip seq anayses, Variant calling Life Science Researchers PhD students Trainers beginner bioinformaticians post-docs 2015-12-17 2017-10-09
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 https://tess.elixir-europe.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
TGAC_SeqAhead: NGS current challenges and data analysis for plant researchers

Hands on course held at TGAC (http://www.tgac.ac.uk/) on Monday 19 to Friday 23 May 2014 What is this workshop about? The course will combine lectures and led discussions to identify key challenges, opportunities and bottlenecks, with practical session on: Automated and standardized data...

Scientific topics: Sequence analysis, Plant biology, Database management, Bioinformatics

Keywords: Ngs, Ngs bioinformatics, Plants bioinformatics

TGAC_SeqAhead: NGS current challenges and data analysis for plant researchers https://tess.elixir-europe.org/materials/tgac_seqahead-ngs-current-challenges-and-data-analysis-for-plant-researchers Hands on course held at TGAC (http://www.tgac.ac.uk/) on Monday 19 to Friday 23 May 2014 What is this workshop about? The course will combine lectures and led discussions to identify key challenges, opportunities and bottlenecks, with practical session on: Automated and standardized data analysis for plant species data Data quality checks Estimation of reproducibility Batch effects Statistical concepts Importance of standards Data formats Data integration What will I learn? To discuss and reflect on best practice of experimental design and control for using NGS technologies in their context of addressing biological questions Identify key challenges, opportunities and bottlenecks Offering a platform for discussion and exploration of the challenges in plant research with a particular emphasis for agri-bioinformatics Sequence analysis Plant biology Database management Bioinformatics Ngs, Ngs bioinformatics, Plants bioinformatics PhD students plant researchers post-docs 2015-06-22 2017-10-09
Workshop on Education in Bioinformatics 2014 - ISMB 2014 - Benjamin Good

Online Gaming in Bioinformatics: The ‘Fun’ Model to Online Bioinformatics Education Benjamin Good, Senior Staff Scientist, Department of Molecular and Experimental Medicine, The Scripps Research Institute. Dr. Good’s research focuses on games with a purpose in crowdsourcing biological knowledge....

Scientific topics: Bioinformatics

Keywords: Bioinformatics, Gaming, Online learning

Workshop on Education in Bioinformatics 2014 - ISMB 2014 - Benjamin Good https://tess.elixir-europe.org/materials/workshop-on-education-in-bioinformatics-2014-ismb-2014-benjamin-good Online Gaming in Bioinformatics: The ‘Fun’ Model to Online Bioinformatics Education Benjamin Good, Senior Staff Scientist, Department of Molecular and Experimental Medicine, The Scripps Research Institute. Dr. Good’s research focuses on games with a purpose in crowdsourcing biological knowledge. To this end, his research has contributed to the development of a suite of interactive video games that allow for play, learning and contributions to science: genegames.org. Dr. Good spoke on online games for bioinformatics and how they can (or cannot) be used to teach bioinformatics at WEB 2014 at ISMB 2014. Bioinformatics Bioinformatics, Gaming, Online learning General Interest 2014-08-14 2017-10-09
Writing functions in Python programming

This is a module from the "Python for Biologists" course. It deals with functions and how to write and use them. It also introduces namespaces and the tuple data structure. The module contains several exercises and suggested solutions. The text of exercises is also provided in a separate file. 

Scientific topics: Bioinformatics

Keywords: Programming, Python, Python biologists

Writing functions in Python programming https://tess.elixir-europe.org/materials/writing-functions-in-python-programming This is a module from the "Python for Biologists" course. It deals with functions and how to write and use them. It also introduces namespaces and the tuple data structure. The module contains several exercises and suggested solutions. The text of exercises is also provided in a separate file.  Bioinformatics Programming, Python, Python biologists Biologists Biologists, Genomicists, Computer Scientists beginner bioinformaticians 2013-11-04 2017-10-09