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37 materials found

Keywords: Shell  or Bioinformatics 


Initiation to R programming and descriptive statistics

On-line course support for the initiation to R programming and descriptive statistics given to PhD students at Institut Pasteur (Paris, France).

Keywords: R-programming, Descriptive statistics, Statistics, Bioinformatics

Initiation to R programming and descriptive statistics http://tess.elixir-uk.org/materials/initiation-to-r-programming-and-descriptive-statistics On-line course support for the initiation to R programming and descriptive statistics given to PhD students at Institut Pasteur (Paris, France). Blaise Li Étienne Kornobis Sébastien Mella Vincent Guillemot R-programming, Descriptive statistics, Statistics, Bioinformatics PhD students Post-Doctoral Fellows Biologists
ELB19F - Entry level Bioinformatics (First course in 2019)

Training material for an entry-level course in bioinformatics with a soft introduction to NGS data analysis.

Keywords: Bioinformatics, Sequencing

Resource type: Documentation, Exercise, Handout, Scripts

ELB19F - Entry level Bioinformatics (First course in 2019) http://tess.elixir-uk.org/materials/elb19f-entry-level-bioinformatics-first-course-in-2019 Training material for an entry-level course in bioinformatics with a soft introduction to NGS data analysis. David Philip Judge Daniel Sobral Pedro Fernandes Bioinformatics, Sequencing Academia/ Research Institution Industry Non-Profit Organisation Healthcare
ELBS18 - Entry level Bioinformatics (Second course in 2018)

Training material for an entry-level course in bioinformatics with a soft introduction to NGS data analysis

Keywords: Bioinformatics, Sequencing

Resource type: Documentation, Exercise, Handout, Scripts

ELBS18 - Entry level Bioinformatics (Second course in 2018) http://tess.elixir-uk.org/materials/elbs18-entry-level-bioinformatics-second-course-in-2018 Training material for an entry-level course in bioinformatics with a soft introduction to NGS data analysis David Philip Judge Daniel Sobral Pedro Fernandes Bioinformatics, Sequencing Academia/ Research Institution Industry Non-Profit Organisation Healthcare
ELB18F - Entry level Bioinformatics (First course in 2018)

Training material for entry level course in bioinformatics with a soft introduction to NGS data analysis.

Keywords: Bioinformatics, Sequencing

Resource type: Documentation, Exercise, Handout, Scripts

ELB18F - Entry level Bioinformatics (First course in 2018) http://tess.elixir-uk.org/materials/elb18f-entry-level-bioinformatics-first-course-in-2018 Training material for entry level course in bioinformatics with a soft introduction to NGS data analysis. David Philip Judge Daniel Sobral Pedro Fernandes Bioinformatics, Sequencing Academia/ Research Institution Industry Non-Profit Organisation Healthcare
PPB18 - Programming in Python for Biologists (2018)

Training Material that covers the basic concepts of Python, such as calculation, organization of data, reading and writing files, program logic and writing larger programs. All the examples and exercises focus on solving biological problems.

Operations: Data handling, Data retrieval

Keywords: Bioinformatics, Biology, Biological databases

Resource type: Documentation, Exercise, Handout, Scripts

PPB18 - Programming in Python for Biologists (2018) http://tess.elixir-uk.org/materials/ppb18-programming-in-python-for-biologists-2018 Training Material that covers the basic concepts of Python, such as calculation, organization of data, reading and writing files, program logic and writing larger programs. All the examples and exercises focus on solving biological problems. Allegra Via Vincenza Colonna David Philip Judge Bioinformatics, Biology, Biological databases Academia/ Research Institution Industry Non-Profit Organisation Healthcare
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 http://tess.elixir-uk.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
Introduction to Biopython

This is a module from the "Python for Biologists" course. The module presents an introduction to Biopython. It shows how to deal with sequences and sequence records, how to download records from NCBI databases, how to run Blast and how to parse XML Blast outputs.

Keywords: Bioinformatics, Biopython, Programming, Python, Python biologists

Introduction to Biopython http://tess.elixir-uk.org/materials/introduction-to-biopython This is a module from the "Python for Biologists" course. The module presents an introduction to Biopython. It shows how to deal with sequences and sequence records, how to download records from NCBI databases, how to run Blast and how to parse XML Blast outputs. Bioinformatics, Biopython, Programming, Python, Python biologists Biologists Biologists, Genomicists, Computer Scientists bioinformaticians 2013-11-04 2017-10-09
Filename Expansion

Filename Expansion from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/05-expansion.md.

Keywords: Shell

Filename Expansion http://tess.elixir-uk.org/materials/filename-expansion Filename Expansion from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/05-expansion.md. Shell Intermediate
Job Control

Job Control from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/04-job.md.

Keywords: Shell

Job Control http://tess.elixir-uk.org/materials/job-control Job Control from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/04-job.md. Shell Intermediate
Instructor's Guide

Instructor's Guide from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/guide.md.

Keywords: Shell

Instructor's Guide http://tess.elixir-uk.org/materials/instructor-s-guide Instructor's Guide from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/guide.md. Shell Intermediate
Variables

Variables from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/03-var.md.

Keywords: Shell

Variables http://tess.elixir-uk.org/materials/variables Variables from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/03-var.md. Shell Intermediate
Loops

Loops from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/04-loop.md.

Keywords: Shell

Loops http://tess.elixir-uk.org/materials/loops Loops from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/04-loop.md. Shell Novice
Creating Things

Creating Things from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/02-create.md.

Keywords: Shell

Creating Things http://tess.elixir-uk.org/materials/creating-things Creating Things from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/02-create.md. Shell Novice
Shell Scripts

Shell Scripts from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/05-script.md.

Keywords: Shell

Shell Scripts http://tess.elixir-uk.org/materials/shell-scripts Shell Scripts from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/05-script.md. Shell Novice
Pipes and Filters

Pipes and Filters from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/03-pipefilter.md.

Keywords: Shell

Pipes and Filters http://tess.elixir-uk.org/materials/pipes-and-filters Pipes and Filters from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/03-pipefilter.md. Shell Novice
Introducing the Shell

Introducing the Shell from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/00-intro.md.

Keywords: Shell

Introducing the Shell http://tess.elixir-uk.org/materials/introducing-the-shell Introducing the Shell from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/00-intro.md. Shell Novice
Finding Things

Finding Things from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/06-find.md.

Keywords: Shell

Finding Things http://tess.elixir-uk.org/materials/finding-things Finding Things from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/06-find.md. Shell Novice
Files and Directories

Files and Directories from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/01-filedir.md.

Keywords: Shell

Files and Directories http://tess.elixir-uk.org/materials/files-and-directories Files and Directories from https://github.com/swcarpentry/bc/tree/gh-pages/novice/shell/01-filedir.md. Shell Novice
Permissions

Permissions from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/01-perm.md.

Keywords: Shell

Permissions http://tess.elixir-uk.org/materials/permissions Permissions from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/01-perm.md. Shell Intermediate
Working Remotely

Working Remotely from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/02-ssh.md.

Keywords: Shell

Working Remotely http://tess.elixir-uk.org/materials/working-remotely Working Remotely from https://github.com/swcarpentry/bc/tree/gh-pages/intermediate/shell/02-ssh.md. Shell Intermediate
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
EMBO 2015

Link to the GitHub repository containing all the training materials made available for the 2015 EMBO event held at TGAC

Scientific topics: Protein binding sites, Molecular interactions, pathways and networks

Keywords: Bioinformatics, Multiple sequence alignment, Network visualization, Protein protein interaction networks

EMBO 2015 http://tess.elixir-uk.org/materials/embo-2015 Link to the GitHub repository containing all the training materials made available for the 2015 EMBO event held at TGAC Protein binding sites Molecular interactions, pathways and networks Bioinformatics, Multiple sequence alignment, Network visualization, Protein protein interaction networks PhD students post-docs 2015-10-08 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 http://tess.elixir-uk.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
Plant and Pathogen Bioinformatics

This package contains presentations and other training material given at the AllBio Plant and Pathogen Bioinformatics training course, held at the European Bioinformatics Institute, Hinxton, United Kingdom, Tuesday, July 8, 2014 - Friday, July 11, 2014. The course was aimed at giving an...

Keywords: Allbio, Bioinformatics, Biological databases, Genome sequence analysis, Pathogenesis, Phytopathogens, Plants

Plant and Pathogen Bioinformatics http://tess.elixir-uk.org/materials/plant-and-pathogen-bioinformatics This package contains presentations and other training material given at the AllBio Plant and Pathogen Bioinformatics training course, held at the European Bioinformatics Institute, Hinxton, United Kingdom, Tuesday, July 8, 2014 - Friday, July 11, 2014. The course was aimed at giving an introduction to researchers wishing to work in the plant-pathogen interactions area, covering major database resources and basis data analysis techniques. The aims of the course were to teach participants how to browse and access a range of data types from leading public repositories; use bioinformatic tools to explore plant and pathogen-related biological data; discuss the benefits and limitations of various bioinformatic techniques; and assess the purpose of specific analyses in a wider context. We would like to thank all presenters for their contributions and their willingness to further distribute their material via Goblet. Allbio, Bioinformatics, Biological databases, Genome sequence analysis, Pathogenesis, Phytopathogens, Plants beginner bioinformaticians early stage phytopathogen researchers 2014-09-11 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 http://tess.elixir-uk.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
Workshop on Education in Bioinformatics 2014 - ISMB 2014 - David Searls

Self-directed Learning: Does online learning in bioinformatics work? Proposed Speaker: (CONFIRMED) David Searls, Adjunct Associate Professor, Perleman School of Medicine, University of Pennsylvania. Dr. Searls is an independent consultant in bioinformatics and former Senior VP of Bioinformatics...

Keywords: Bioinformatics, Mooc, Online learning

Workshop on Education in Bioinformatics 2014 - ISMB 2014 - David Searls http://tess.elixir-uk.org/materials/workshop-on-education-in-bioinformatics-2014-ismb-2014-david-searls Self-directed Learning: Does online learning in bioinformatics work? Proposed Speaker: (CONFIRMED) David Searls, Adjunct Associate Professor, Perleman School of Medicine, University of Pennsylvania. Dr. Searls is an independent consultant in bioinformatics and former Senior VP of Bioinformatics at GlaxoSmithKline Pharmaceuticals. He recently authored “Ten Simple Rules for Online Learning” and “An Online Bioinformatics Curriculum”. Dr. Searls spoke on the opportunities and challenges of online learning in bioinformatics from a learner's perspective at WEB 2014 at ISMB 2014. Bioinformatics, Mooc, Online learning General Interest 2014-08-14 2017-10-09
Workshop on Education in Bioinformatics 2014 - ISMB 2014 - Michael Love

MOOCs in Bioinformatics: The Online Course Model to Online Bioinformatics Education Dr. Michael Love, edX Faculty and post-doctoral fellow in Dept. Biostatistics, Dana Farber Cancer Institute and Harvard School of Public Health. Dr. Love teaches the Data Analysis for Genomics course offered...

Keywords: Bioinformatics, Mooc

Workshop on Education in Bioinformatics 2014 - ISMB 2014 - Michael Love http://tess.elixir-uk.org/materials/workshop-on-education-in-bioinformatics-2014-ismb-2014-michael-love MOOCs in Bioinformatics: The Online Course Model to Online Bioinformatics Education Dr. Michael Love, edX Faculty and post-doctoral fellow in Dept. Biostatistics, Dana Farber Cancer Institute and Harvard School of Public Health. Dr. Love teaches the Data Analysis for Genomics course offered through edX. His research focuses on inferring biologically meaningful patterns from high-throughput sequencing read counts. He also develops open-source statistical software for the analysis of exome sequencing and RNA sequencing experiments for the Bioconductor Project. Dr. Love spoke on how open online courses operate and how they can (or cannot) be used to teach bioinformatics at WEB 2014 at ISMB 2014. Bioinformatics, Mooc 2014-08-14 2017-10-09
Bioinformatics Introductory Module

This Bioinformatics Introductory Module for self-study was designed for future students of the  Molecular Mechanisms of Disease (MMD) master’s program at Radboud University Medical Centre. To level out the starting differences in bioinformatics knowledge between this incoming heterogeneous group...

Keywords: Bioinformatics, Genome browsing, Genomics, Protein structure

Bioinformatics Introductory Module http://tess.elixir-uk.org/materials/bioinformatics-introductory-module This Bioinformatics Introductory Module for self-study was designed for future students of the  Molecular Mechanisms of Disease (MMD) master’s program at Radboud University Medical Centre. To level out the starting differences in bioinformatics knowledge between this incoming heterogeneous group of students as much as possible, we have designed an introductory course module that should allow them – via self study and hands-on exercises – to acquire sufficient basic bioinformatics knowledge. Keywords: Databases, Sequence homology, Phylogeny, Protein structure, Microarrays, Proteomics, Expression analysis, Protein-protein interaction, Cluster analysis, protein modelling, networks, bioinformatics. Anticipated time needed to complete the module: 40 hours.  Answers for all the exercises are available on request. Of course you do need internet connection to perform the hands-on exercises. There is no need, however, to install programs onto your computer and also low-speed data transfer should be sufficient. All literature that is cited and used throughout the module was taken from open access sources.   Bioinformatics, Genome browsing, Genomics, Protein structure Life Science Researchers Master students 2014-06-27 2017-10-09
Simple plotting in R

This quick and simple tutorial demonstrates some of the easy plotting tools in the R core software. the data are in the "data" directory and come from an old two-colour microarray experiment where spots on the array were printed with different buffers, in different concentrations and with...

Keywords: Bioinformatics, Microarray data analysis, Plotting data, R, Visualisation

Simple plotting in R http://tess.elixir-uk.org/materials/simple-plotting-in-r This quick and simple tutorial demonstrates some of the easy plotting tools in the R core software. the data are in the "data" directory and come from an old two-colour microarray experiment where spots on the array were printed with different buffers, in different concentrations and with different pins.  Also, both channels Cy5 and Cy3 were spotted identically, and so the fold ratio for all spots should be 1 - this helps us see bias in the data Bioinformatics, Microarray data analysis, Plotting data, R, Visualisation Beginners PhD students Researchers Scientists 2014-01-14 2017-10-09
Quality Control of Illumina Sequencing data in the cloud

This course was created as part of the SeqAhead project and contains both powerpoint presentations and course materials that teach students how to set up an Amazon EC2 virtual machine, connect to it, download some Illumina data from  the short read archive (SRA), assess the quality of the data...

Keywords: Bioinformatics, Cloud, Next generation sequencing, Next generation sequencing data analysis, Ngs bioinformatics, Qc ngs data

Quality Control of Illumina Sequencing data in the cloud http://tess.elixir-uk.org/materials/quality-control-of-illumina-sequencing-data-in-the-cloud This course was created as part of the SeqAhead project and contains both powerpoint presentations and course materials that teach students how to set up an Amazon EC2 virtual machine, connect to it, download some Illumina data from  the short read archive (SRA), assess the quality of the data and learn to trim both bad quality bases and adapter sequences Bioinformatics, Cloud, Next generation sequencing, Next generation sequencing data analysis, Ngs bioinformatics, Qc ngs data Beginners 2014-01-13 2017-10-09