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Authors: Obi Griffith  or blankclemens  or Bruno Gaeta  or Yo Yehudi  or David Wishart  or allegra.via Via 


Informatics and Statistics for Metabolomics 2018 Module 6-Future of Metabolomics

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2018 Module 6-Future of Metabolomics https://tess.elixir-europe.org/materials/informatics-and-statistics-for-metabolomics-2018-module-6-future-of-metabolomics Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases. Researchers Post-Doctoral Fellows Graduate students Biologists, Genomicists, Computer Scientists
Informatics and Statistics for Metabolomics 2018 Module 3-Databases for Chemical, Spectral, and Biological Data

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2018 Module 3-Databases for Chemical, Spectral, and Biological Data https://tess.elixir-europe.org/materials/informatics-and-statistics-for-metabolomics-2018-module-3-databases-for-chemical-spectral-and-biological-data Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases. Researchers Post-Doctoral Fellows Graduate Students Biologists, Genomicists, Computer Scientists
Informatics and Statistics for Metabolomics 2018 Module 2-Metabolite Identification and Annotation

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2018 Module 2-Metabolite Identification and Annotation https://tess.elixir-europe.org/materials/informatics-and-statistics-for-metabolomics-2018-module-2-metabolite-identification-and-annotation Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases. Researchers Graduate students Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists
Informatics and Statistics for Metabolomics 2018 Module 1-Introduction to Metabolomics

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2018 Module 1-Introduction to Metabolomics https://tess.elixir-europe.org/materials/informatics-and-statistics-for-metabolomics-2018-module-1-introduction-to-metabolomics Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases. Researchers Graduate Students Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists
InterMine user tutorial

A tutorial for end users of InterMine

Keywords: Data querying, Data analysis, Data download, FAIR

Resource type: Tutorial

InterMine user tutorial https://tess.elixir-europe.org/materials/intermine-user-tutorial A tutorial for end users of InterMine Data querying, Data analysis, Data download, FAIR Life Science Researchers Bioinformaticians
InterMine user manual

Documentation for end users on how to search for data, run simple and complex queries, analyse results and download data from any instance of InterMine.

Keywords: Data querying, data visualization, Data download, FAIR

Resource type: Documentation

InterMine user manual https://tess.elixir-europe.org/materials/intermine-user-manual Documentation for end users on how to search for data, run simple and complex queries, analyse results and download data from any instance of InterMine. Data querying, data visualization, Data download, FAIR Life Science Researchers Bioinformaticians
InterMine operator manual

Documentation on how to install, configure and operate an InterMine instance.

Keywords: Data integration, Data analysis, Data publishing, FAIR

Resource type: Documentation

InterMine operator manual https://tess.elixir-europe.org/materials/intermine-operator-manual Documentation on how to install, configure and operate an InterMine instance. Data integration, Data analysis, Data publishing, FAIR Bioinformaticians software engineers
Informatics for RNA-Seq Analysis 2018 Module 3-Expression and Differential Expression

Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.

Informatics for RNA-Seq Analysis 2018 Module 3-Expression and Differential Expression https://tess.elixir-europe.org/materials/informatics-for-rna-seq-analysis-2018-module-3-expression-and-differential-expression Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages. Researchers Biologists, Genomicists, Computer Scientists Graduate Students Post-Doctoral Fellows
Informatics for RNA-Seq Analysis 2017 Module 3-Expression and Differential Expression

Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.

Informatics for RNA-Seq Analysis 2017 Module 3-Expression and Differential Expression https://tess.elixir-europe.org/materials/informatics-for-rna-seq-analysis-2017-module-3-expression-and-differential-expression Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages. Researchers Graduate Students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Informatics and Statistics for Metabolomics 2017 Module 6-Future of Metabolomics

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2017 Module 6-Future of Metabolomics https://tess.elixir-europe.org/materials/informatics-and-statistics-for-metabolomics-2017-module-6-future-of-metabolomics Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Informatics and Statistics for Metabolomics 2017 Module 5-MetaboAnalyst

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2017 Module 5-MetaboAnalyst https://tess.elixir-europe.org/materials/informatics-and-statistics-for-metabolomics-2017-module-5-metaboanalyst Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases. Researchers Graduate Students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Informatics and Statistics for Metabolomics 2017 Module 3-Databases for Chemical, Spectral, and Biological Data

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2017 Module 3-Databases for Chemical, Spectral, and Biological Data https://tess.elixir-europe.org/materials/informatics-and-statistics-for-metabolomics-2017-module-3-databases-for-chemical-spectral-and-biological-data Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases. Researchers Graduate Students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Informatics and Statistics for Metabolomics 2017 Module 2-Metabolite Identification and Annotation

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2017 Module 2-Metabolite Identification and Annotation https://tess.elixir-europe.org/materials/informatics-and-statistics-for-metabolomics-2017-module-2-metabolite-identification-and-annotation Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases. Researchers Graduate students Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists
Informatics and Statistics for Metabolomics 2017 Module 1-Introduction to Metabolomics

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2017 Module 1-Introduction to Metabolomics https://tess.elixir-europe.org/materials/informatics-and-statistics-for-metabolomics-2017-module-1-introduction-to-metabolomics Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
High-Throughput Biology 2017 Module 9-Expression and Differential Expression

Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.

High-Throughput Biology 2017 Module 9-Expression and Differential Expression https://tess.elixir-europe.org/materials/high-throughput-biology-2017-module-9-expression-and-differential-expression Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome. Graduate students Post-Doctoral Fellows Researchers Biologists, Genomicists, Computer Scientists
Development in Galaxy - Galaxy Webhooks

Galaxy is an open-source project. Everyone can contribute to its development with core Galaxy development, integration of softwares in Galaxy environment, ... Questions of the tutorial: - What are Galaxy Webhooks? - How to create them? Objectives of the tutorial: - Discover what Galaxy...

Resource type: Tutorial

Development in Galaxy - Galaxy Webhooks https://tess.elixir-europe.org/materials/development-in-galaxy-galaxy-webhooks Galaxy is an open-source project. Everyone can contribute to its development with core Galaxy development, integration of softwares in Galaxy environment, ... Questions of the tutorial: - What are Galaxy Webhooks? - How to create them? Objectives of the tutorial: - Discover what Galaxy Webhooks are - Be able to create Webhooks - Be able to add a Galaxy Webhook in a Galaxy instance
Introduction to Galaxy Analyses - Galaxy 101

Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - Which coding exon has the...

Resource type: Tutorial

Introduction to Galaxy Analyses - Galaxy 101 https://tess.elixir-europe.org/materials/galaxy-introduction-galaxy-101 Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - Which coding exon has the highest number of single nucleotide polymorphisms (SNPs) on human chromosome 22? Objectives of the tutorial: - Familiarize yourself with the basics of Galaxy - Learn how to obtain data from external sources - Learn how to run tools - Learn how histories work - Learn how to create a workflow - Learn how to share your work
Introduction to Galaxy Analyses - From peaks to genes

Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - How to use Galaxy? - How to get...

Resource type: Tutorial

Introduction to Galaxy Analyses - From peaks to genes https://tess.elixir-europe.org/materials/galaxy-introduction-from-peaks-to-genes Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - How to use Galaxy? - How to get from peak regions to a list of gene names? Objectives of the tutorial: - Familiarize yourself with the basics of Galaxy - Learn how to obtain data from external sources - Learn how to run tools - Learn how histories work - Learn how to create a workflow - Learn how to share your work
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
Similarity searching, multiple sequence alignment and protein families - undergraduate lab

Lab 3 in a series of labs given as part of a "bioinformatics for biologists" course targeted at 2nd/3rd year undergraduates and focusing on informed use of tools. Some instructions are specific to our local computer lab setup but overall the content should be adaptable. Note that because some of...

Keywords: Blast, Hmmer, Interpro, Multiple sequence alignment, Similarity searching

Similarity searching, multiple sequence alignment and protein families - undergraduate lab https://tess.elixir-europe.org/materials/similarity-searching-multiple-sequence-alignment-and-protein-families-undergraduate-lab Lab 3 in a series of labs given as part of a "bioinformatics for biologists" course targeted at 2nd/3rd year undergraduates and focusing on informed use of tools. Some instructions are specific to our local computer lab setup but overall the content should be adaptable. Note that because some of the exercises make use of public databases they need to be checked and in some cases updated every time the lab is run. The lab is meant to be easily assessed using an online quiz (I use moodle). I provides a hands on introduction to NCBI BLAST, Interproscan, Clustal, MUSCLE and T-COFFEE, and HMMER.  Blast, Hmmer, Interpro, Multiple sequence alignment, Similarity searching biology and bioinformatics sophomore undergraduates 2013-11-12 2017-10-09
Multiple sequence alignment and phylogeny - undergraduate lab

This is lab 4 in a series of labs given as part of an undergraduate "Bioinformatics for biologists" course delivered to 2nd and 3rd year biology and bioinformatics undergraduate students, as part of a course focusing on using bioinformatics tools. Some instructions in it are specific to our lab...

Keywords: Clustalw, Multiple sequence alignment, Phylip, Phylogeny

Multiple sequence alignment and phylogeny - undergraduate lab https://tess.elixir-europe.org/materials/multiple-sequence-alignment-and-phylogeny-undergraduate-lab This is lab 4 in a series of labs given as part of an undergraduate "Bioinformatics for biologists" course delivered to 2nd and 3rd year biology and bioinformatics undergraduate students, as part of a course focusing on using bioinformatics tools. Some instructions in it are specific to our lab environment - including some not so current programs (clustalw, treetool, seaview, phylip) as that's what we have installed at the moment and they're stable, but the content can easily be adapted to other environments and programs. The lab is meant to be easily assessed and I get the students to answer the question in a moodle quiz which makes marking easier. The lab follows some lectures on multiple sequence alignment and molecular phylogeny. Clustalw, Multiple sequence alignment, Phylip, Phylogeny biology and bioinformatics sophomore undergraduates 2013-11-12 2017-10-09
Sequence comparison - undergraduate lab

This is lab 2 in a series of labs developed as part of a "bioinformatics for biology undergraduates" course and targeted at 2nd and 3rd year undergraduates. It is meant to be easily assessible. The lab includes some instructions that are specific to our computer lab environment but the content of...

Keywords: Dotmatrix plots, Scoring matrices, Sequence alignment

Sequence comparison - undergraduate lab https://tess.elixir-europe.org/materials/sequence-comparison-undergraduate-lab This is lab 2 in a series of labs developed as part of a "bioinformatics for biology undergraduates" course and targeted at 2nd and 3rd year undergraduates. It is meant to be easily assessible. The lab includes some instructions that are specific to our computer lab environment but the content of the lab should be easy to adapt to other environments. This lab makes use of EMBOSS programs, prss in the FASTA package, as well as the NCBI BLAST website. I usually deliver this lab after a series of lectures discussing dotmatrix plots and sequence alignment. Students enter their answers to the questions into a quiz set up within moodle which allows for easier marking. Dotmatrix plots, Scoring matrices, Sequence alignment Undergraduate students 2013-11-12 2017-10-09
Using R with Python

This is a module from the "Python for Biologists" course. It describes the Python module interfacing the R package for statistics. The module shows how to calculate mean, standard deviation, z-score and p-value of a set of numbers, and how to generate plots. Input files for the scripts presented...

Keywords: Programming, Python, Python biologists

Using R with Python https://tess.elixir-europe.org/materials/using-r-with-python This is a module from the "Python for Biologists" course. It describes the Python module interfacing the R package for statistics. The module shows how to calculate mean, standard deviation, z-score and p-value of a set of numbers, and how to generate plots. Input files for the scripts presented are also provided. Programming, Python, Python biologists Biologists Biologists, Genomicists, Computer Scientists beginner bioinformaticians bioinformaticians 2013-11-04 2017-10-09
Searching data using Python

This is a module from the "Python for Biologists" course. It describes how to use Python dictionary and set data structures to search your data. In particular, how to use a dictionary to represent the genetic code table and use it to translate a nucleotide sequence into a protein sequence, and...

Keywords: Programming, Python, Python biologists

Searching data using Python https://tess.elixir-europe.org/materials/searching-data-using-python This is a module from the "Python for Biologists" course. It describes how to use Python dictionary and set data structures to search your data. In particular, how to use a dictionary to represent the genetic code table and use it to translate a nucleotide sequence into a protein sequence, and how to use sets to find unique records in two datasets and remove redundancy.  Programming, Python, Python biologists Biologists Biologists, Genomicists, Computer Scientists beginner bioinformaticians 2013-11-04 2017-10-09
Pattern Matching

This is a module from the "Python for Biologists" course. It teaches how to do pattern matching in Python, i.e. how to find a substring (or a set of substrings) in a string. To this aim, it introduces the regular expression syntax, and the tools needed to search regular expressions in biological...

Keywords: Pattern matching, Programming, Python, Python biologists

Pattern Matching https://tess.elixir-europe.org/materials/pattern-matching This is a module from the "Python for Biologists" course. It teaches how to do pattern matching in Python, i.e. how to find a substring (or a set of substrings) in a string. To this aim, it introduces the regular expression syntax, and the tools needed to search regular expressions in biological sequences and in regular text, such as PubMed abstracts. Exercises and suggested solutions are presented in a separate file. Pattern matching, Programming, Python, Python biologists Biologists Biologists, Genomicists, Computer Scientists beginner bioinformaticians 2013-11-04 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
Python Programs

This is a module from the "Python for Biologists" course. It deals with Python programs, how to write and run them, and how to provide input and generate output. The module also contains exercises and suggested solutions. 

Keywords: Programming, Python, Python biologists

Python Programs https://tess.elixir-europe.org/materials/python-programs This is a module from the "Python for Biologists" course. It deals with Python programs, how to write and run them, and how to provide input and generate output. The module also contains exercises and suggested solutions.  Programming, Python, Python biologists Biologists Biologists, Genomicists, Computer Scientists beginner bioinformaticians 2013-11-04 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
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