20 materials found

Keywords: 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
Bioinformatics and Virtual Machines

We introduce the concept of the virtual machine, what they can be used for and the advantages and disadvantages of using them.

Keywords: VM, IFR, Institute of Food Research, Quadram Institute, Bioinformatics

Bioinformatics and Virtual Machines https://tess.elixir-europe.org/materials/bioinformatics-and-virtual-machines We introduce the concept of the virtual machine, what they can be used for and the advantages and disadvantages of using them. VM, IFR, Institute of Food Research, Quadram Institute, Bioinformatics
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 https://tess.elixir-europe.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
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
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 https://tess.elixir-europe.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 https://tess.elixir-europe.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 https://tess.elixir-europe.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 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
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 https://tess.elixir-europe.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 https://tess.elixir-europe.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 https://tess.elixir-europe.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 https://tess.elixir-europe.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 https://tess.elixir-europe.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
Bioinformatics for Mass spectrometry analysis

This tutorial on Bioinformatics for Mass spectrometry analysis was part of a full series of tutorials that I have organised in 2009 while sitting in the Educational Committee of the European Proteomics Association (EuPA). Some information on bioinformatics tools would need to be verified, but the...

Keywords: Bioinformatics, Mass spectrometry, Protein identification

Bioinformatics for Mass spectrometry analysis https://tess.elixir-europe.org/materials/bioinformatics-for-mass-spectrometry-analysis This tutorial on Bioinformatics for Mass spectrometry analysis was part of a full series of tutorials that I have organised in 2009 while sitting in the Educational Committee of the European Proteomics Association (EuPA). Some information on bioinformatics tools would need to be verified, but the core of slides is still up to date. It introduces the basic ideas behind mass spectrometry and bioinformatics for protein identification from mass spectrometry data. Bioinformatics, Mass spectrometry, Protein identification Bench biologists PhD students Post-Doctoral Fellows Technicians bioinformaticians master 2013-10-30 2017-10-09
Linear Motifs and Phosphorylation Sites

This is a lecture on linear motifs and phophorylation sites (P-sites). Some materials from other lectures are reused. The lecture is basically about computational approaches to encode, predict, analyse, and use functional motifs and P-sites. Here you can find: A definition of linear motifs and...

Keywords: Bioinformatics

Linear Motifs and Phosphorylation Sites https://tess.elixir-europe.org/materials/linear-motifs-and-phosphorylation-sites This is a lecture on linear motifs and phophorylation sites (P-sites). Some materials from other lectures are reused. The lecture is basically about computational approaches to encode, predict, analyse, and use functional motifs and P-sites. Here you can find: A definition of linear motifs and P-sites Computational methods to identify them How you can represent and use them Resources and tools to deal with them Bioinformatics Biologists biocurators bioinformaticians 2013-07-16 2017-10-09
Next Generation Sequencing (NGS) wikibook

Next generation sequencing (NGS) has become a commodity. With the commercialization of various affordable desktop sequencers, NGS will be of reach by more traditional wet-lab biologists . As seen in recent years, genome-wide scale computational analysis is increasingly being used as a backbone to...

Keywords: Bioinformatics, Next generation sequencing, Ngs

Next Generation Sequencing (NGS) wikibook https://tess.elixir-europe.org/materials/next-generation-sequencing-ngs-wikibook Next generation sequencing (NGS) has become a commodity. With the commercialization of various affordable desktop sequencers, NGS will be of reach by more traditional wet-lab biologists . As seen in recent years, genome-wide scale computational analysis is increasingly being used as a backbone to foster novel discovery in biomedical research. However, as the quantities of sequence data increase exponentially, the analysis bottle-neck is yet to be solved. The current sources for NGS informatics are extremely fragmented. A novice could read review articles in various journals, follow discussion threads on forums such as Biostar[1] or SEQanswers [2], or sign up for courses organized by various institutes. Finding a centralized synthesis is much more difficult. Books are available, but the development of the field is so fast that book chapters risk being obsoleted by the time they are even printed. Moreover, cost for a handful of authors to continually update their text would presumably take up a lot of their schedule. Drawing from the obvious goodwill and community spirit displayed on discussion forums, and exploiting the collaborative tools made available by the Wikimedia foundation, we propose to initiate the editing of a collaborative WikiBook on NGS. Our plan is to collect a sufficient amount of text that people will be incentivized to contribute to it, essentially providing the same information as a forum but in a tidier form. Ultimately, our goal is to create a collective lab book that explains the key concepts and describes best practices in NGS. Parnell LD, Lindenbaum P, Shameer K et al. BioStar: an online question & answer resource for the bioinformatics community, PLoS Comput Biol 2011;7:e1002216. Li JW, Schmieder R, Ward RM et al. SEQanswers: an open access community for collaboratively decoding genomes, Bioinformatics 2012;28:1272-1273 Join this initiative now and contribute to further expand and improve the contents and case studies in the NGS wikibook! Read about this initiative and the nine rules for NGS data analysis here: The NGS WikiBook: a dynamic collaborative online training effort with long-term sustainability Bioinformatics, Next generation sequencing, Ngs Biologists bioinformaticians computational scientists 2013-07-15 2017-10-09
BioJS

BioJS is a library of graphical components easy to reuse to represent biological information

Keywords: Bioinformatics, Javascript

BioJS https://tess.elixir-europe.org/materials/biojs BioJS is a library of graphical components easy to reuse to represent biological information Bioinformatics, Javascript bioinformaticians web developers 2013-07-11 2017-10-09
Bioinformatics for MS analysis

The purpose of this course is to teach students the fundamental concepts underlying the analysis of proteins using mass spectrometry.

Keywords: Bioinformatics, Identification, Mass spectrometry

Bioinformatics for MS analysis https://tess.elixir-europe.org/materials/bioinformatics-for-ms-analysis The purpose of this course is to teach students the fundamental concepts underlying the analysis of proteins using mass spectrometry. Bioinformatics, Identification, Mass spectrometry 2013-07-05 2017-10-09
Parsing data records using Python programming

This is a module from the "Python for Biologists" course. One typical problem in bioinformatics is parsing data files. This module explains how to parse FASTA files and GenBank records. It also introduces the if/elif/else construct to make choice in programming and the list  data structure. The...

Keywords: Bioinformatics, Programming, Python, Python biologists, Record parsing

Parsing data records using Python programming https://tess.elixir-europe.org/materials/parsing-data-records-using-python-programming This is a module from the "Python for Biologists" course. One typical problem in bioinformatics is parsing data files. This module explains how to parse FASTA files and GenBank records. It also introduces the if/elif/else construct to make choice in programming and the list  data structure. The text of exercises is provided in a separate file.  Bioinformatics, Programming, Python, Python biologists, Record parsing Biologists beginner bioinformaticians bioinformaticians programmers 2013-07-05 2017-10-09
Introduction to Unix

Introductory lecture to the Unix/Linux command-line Description of the computer shell and the command-line interface Differences between graphical and command-line interfaces The most commond Unix/Linux commands are provided    

Keywords: Bioinformatics, Programming, Unixlinux

Introduction to Unix https://tess.elixir-europe.org/materials/introduction-to-unix Introductory lecture to the Unix/Linux command-line Description of the computer shell and the command-line interface Differences between graphical and command-line interfaces The most commond Unix/Linux commands are provided     Bioinformatics, Programming, Unixlinux Anyone wants to start using the Unix/Linux OS 2013-07-04 2017-10-09