1. Home
  2. Materials
Register training material
25 materials found

Keywords: Shell  or Python 

How to use Python and R with RDF Data

This training module will provide researchers with an introduction on how use R and Python in combination with SPARQL to query RDF data.

Scientific topics: Medical informatics, FAIR data, Data management, Computer science

Operations: Data retrieval, Data handling, Query and retrieval

Keywords: Clinical data, SPARQL, Query data, RDF, Knowledge graph, Python, R, GraphDB

Resource type: Video, Training materials, Mock data, E-learning

How to use Python and R with RDF Data http://tess.elixir-uk.org/materials/how-to-use-python-and-r-with-rdf-data This training module will provide researchers with an introduction on how use R and Python in combination with SPARQL to query RDF data. Sabine Österle Vasundra Touré Medical informatics FAIR data Data management Computer science Clinical data, SPARQL, Query data, RDF, Knowledge graph, Python, R, GraphDB Research Scientists Data Managers Biomedical Researchers Bioinformaticians Data Scientists
Introduction à la programmation Python pour la biologie

Cours de Python pour des biologistes par Patrick Fuchs et Pierre Poulain.

Keywords: Python, Programming, Python for Biologists

Introduction à la programmation Python pour la biologie http://tess.elixir-uk.org/materials/introduction-a-la-programmation-python-pour-la-biologie Cours de Python pour des biologistes par Patrick Fuchs et Pierre Poulain. Python, Programming, Python for Biologists
DE-Sim examples, tutorials, and documentation

*DE-Sim* is an open-source, Python-based object-oriented discrete-event simulation (DES) tool that makes it easy to use large, heterogeneous datasets and high-level data science tools such as [NumPy](https://numpy.org/), [Scipy](https://scipy.org/scipylib/index.html),...

Scientific topics: Computational biology, Mathematics, Computer science, Simulation experiment

Operations: Visualisation, Modelling and simulation

Keywords: data-driven modeling, Computational modelling, discrete-event simulation, DES, object-oriented programming, Python, data visualization, Data Science

Resource type: examples, Tutorial, Jupyter notebook, API reference

DE-Sim examples, tutorials, and documentation http://tess.elixir-uk.org/materials/de-sim-examples-tutorials-and-documentation *DE-Sim* is an open-source, Python-based object-oriented discrete-event simulation (DES) tool that makes it easy to use large, heterogeneous datasets and high-level data science tools such as [NumPy](https://numpy.org/), [Scipy](https://scipy.org/scipylib/index.html), [pandas](https://pandas.pydata.org/), and [SQLAlchemy](https://www.sqlalchemy.org/) to build and simulate complex computational models. Similar to [Simula](http://www.simula67.info/), *DE-Sim* models are implemented by defining logical process objects which read the values of a set of shared variables and schedule events to modify their values at discrete instants in time. This website provides examples, tutorials, and documentation for *DE-Sim*. Computational biology Mathematics Computer science Simulation experiment data-driven modeling, Computational modelling, discrete-event simulation, DES, object-oriented programming, Python, data visualization, Data Science computational scientists Computational biologists bioinformaticians software engineers programmers
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
Python @ TGAC - Python for Life Scientists: Managing biological data with Python

Python is an object-oriented programming language that is ideal for biological data analysis. The course will start with very basic language concepts and instructions and will cover all the main language aspects, including variables, types, modules, functions, exceptions, control of flux, input,...

Keywords: Biopython, Python, Python biologists

Python @ TGAC - Python for Life Scientists: Managing biological data with Python http://tess.elixir-uk.org/materials/python-tgac-python-for-life-scientists-managing-biological-data-with-python Python is an object-oriented programming language that is ideal for biological data analysis. The course will start with very basic language concepts and instructions and will cover all the main language aspects, including variables, types, modules, functions, exceptions, control of flux, input, output, and classes. All the examples and practical sessions will focus on solving particular biological problems. In particular, examples and practical sessions will cover: Working with DNA and protein sequences Data retrieval from files and their manipulation Running applications, such as BLAST, locally and from a script Finding motifs in sequences Parsing Swiss-Prot files, PDB files, ENSEMBL records, blast output files, etc. Biopython will be also introduced and applied to some of the mentioned examples. The course is meant to be highly interactive and the students will continuously put theory into practice while learning. By the end of the course, the students will have a good understanding of Python basics and will have acquired the skills to manage any type of bioinformatics record and to run applications from scripts. Unix/Linux basic skills will be provided at the beginning of the course. Biopython, Python, Python biologists PhD post-docs 2015-07-14 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 http://tess.elixir-uk.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 http://tess.elixir-uk.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 http://tess.elixir-uk.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 http://tess.elixir-uk.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 http://tess.elixir-uk.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
An Introduction to Unix, Perl and Python

This  course provides an introduction to Unix, Perl and Python. In addition to lecture material (in the form of slides), there are exercises, answers to the exercises and pointers to addition resources.

Keywords: Perl, Python, Unix

An Introduction to Unix, Perl and Python http://tess.elixir-uk.org/materials/an-introduction-to-unix-perl-and-python This  course provides an introduction to Unix, Perl and Python. In addition to lecture material (in the form of slides), there are exercises, answers to the exercises and pointers to addition resources. Perl, Python, Unix Bench biologists 2013-07-28 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 http://tess.elixir-uk.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