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Authors: allegra.via Via  or Frédéric de Lamotte 


FAIR data - Module 4 (share and publish data)

Partager et diffuser les données. Le cadre juridique, les entrepôts et les licences sur les données

Scientific topics: Data management, Biology, Bioinformatics

Keywords: data sharing, Data publishing, legal framework, data warehouse, licensing, data reuse

Resource type: Slides

FAIR data - Module 4 (share and publish data) http://tess.elixir-uk.org/materials/fair-data-module-4-share-and-publish-data Partager et diffuser les données. Le cadre juridique, les entrepôts et les licences sur les données Hélène Chiapello Thomas Denecker Jean-François Dufayard Gautier Sarah Julien Seiler Data management Biology Bioinformatics data sharing, Data publishing, legal framework, data warehouse, licensing, data reuse Biologists bioinformaticians Biomedical researchers
FAIR data - Module 3 (Metadata)

Les Métadonnées : les standards du domaine des données omiques en biologie et séances pratiques d’annotations de jeux de données

Scientific topics: Data management, Biology, Bioinformatics

Operations: Data handling

Keywords: metadata, data annotation, life science standards, data sharing

Resource type: Slides

FAIR data - Module 3 (Metadata) http://tess.elixir-uk.org/materials/fair-data-module-3-metadata Les Métadonnées : les standards du domaine des données omiques en biologie et séances pratiques d’annotations de jeux de données Jean-François Dufayard Gautier Sarah Paulette Lieby Data management Biology Bioinformatics metadata, data annotation, life science standards, data sharing Biologists bioinformaticians Biomedical researchers
FAIR data - Module 2 (data life cycle)

La vie des données pendant le projet : Principe et outils pour organiser, nommer, versionner, stocker, archiver, mes données

Scientific topics: Bioinformatics, Biology, Data management

Operations: Data handling

Keywords: Data preserving, Data storage

Resource type: Slides

FAIR data - Module 2 (data life cycle) http://tess.elixir-uk.org/materials/fair-data-module-2 La vie des données pendant le projet : Principe et outils pour organiser, nommer, versionner, stocker, archiver, mes données Bioinformatics Biology Data management Data preserving, Data storage Biologists bioinformaticians Biomedical researchers
FAIR data - Module 1 (research data)

Research data and their centrality in the research process. This material is mostly in French.

Keywords: metadata, Data Life Cycle, Reproducibility, Data management plan

Resource type: Slides

FAIR data - Module 1 (research data) http://tess.elixir-uk.org/materials/fair-data-module-1 Research data and their centrality in the research process. This material is mostly in French. Gautier Sarah Hélène Chiapello Jean-François Dufayard Julien Seiler Lionel Maurel Paulette Lieby Thomas Denecker metadata, Data Life Cycle, Reproducibility, Data management plan Biologists bioinformaticians Biomedical researchers
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
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
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 http://tess.elixir-uk.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 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
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 http://tess.elixir-uk.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