Plant Phenotyping Data managment Webinar (MIAPPE)
The Minimal Information About Plant Phenotyping Experiment, MIAPPE (www.miappe.org), has been designed by ELIXIR, EMPHASIS and Bioversity international, to guide plant scientist in the management of experimental data. Furthermore, since genetic studies relies on the integration and the linking...
Scientific topics: Data submission, annotation, and curation, Data quality management, Phenomics, Plant biology
Operations: Standardisation and normalisation
Resource type: Video, Slides
Plant Phenotyping Data managment Webinar (MIAPPE)
https://youtu.be/4FOQPAWl6_M
http://tess.elixir-uk.org/materials/plant-phenotyping-data-managment-webinar-miappe
The Minimal Information About Plant Phenotyping Experiment, MIAPPE (www.miappe.org), has been designed by ELIXIR, EMPHASIS and Bioversity international, to guide plant scientist in the management of experimental data. Furthermore, since genetic studies relies on the integration and the linking between phenotype and genotype datasets, relevant section of MIAPPE are beginning to be used for genotyping standards. This Webinar will give an overview of the current practices and methods for plant phenotyping data standardization, and how to deal with the variability and heterogeneity inherent to research and breeding data sets. Data management approaches at some of the major research organizations will be given as examples.
The recording is available [here](https://youtu.be/4FOQPAWl6_M) and the slides are [here](https://drive.google.com/file/d/1FORlCX662T9dxiG4uzQwVXDXnq-sP0FP/view?usp=sharing)
Cyril Pommier
Cyril Pommier
Anne-Françoise Adam-Blondon
Célia Michotey
Data submission, annotation, and curation
Data quality management
Phenomics
Plant biology
Researchers
Biologists, Genomicists, Computer Scientists
Biologists
software developers, bioinformaticians
Plant Phenotyping Data managment (MIAPPE)
This material is first targetting plant biologist willing to describe and annotate their phenotyping experiments before publication. Database managers and software developpers will also receive an introduction of the current plant phenotyping standards (MIAPPE, BrAPI, Crop ontology). Learners...
Scientific topics: Data management, Plant biology, Phenomics
Operations: Formatting, Annotation
Keywords: Plant Phenotyping, Data-format, data sharing
Resource type: Training materials
Plant Phenotyping Data managment (MIAPPE)
https://github.com/MIAPPE/training/tree/master/Paris-Feb-2020
http://tess.elixir-uk.org/materials/plant-phenotyping-data-managment-miappe
This material is first targetting plant biologist willing to describe and annotate their phenotyping experiments before publication. Database managers and software developpers will also receive an introduction of the current plant phenotyping standards (MIAPPE, BrAPI, Crop ontology). Learners will know how to use standards and ontologies, how to describe their measurment protocole and practices how to fill a template with their data and how to apply the standards concept in some data managment tools.
Cyril Pommier
Daniel Faria
Evangelia Papoutsoglou
Célia Michotey
Elizabeth Arnaud
Anne-Françoise Adam-Blondon
Data management
Plant biology
Phenomics
Plant Phenotyping, Data-format, data sharing
Biologists
geneticists
plant researchers
software engineers
database managers
WheatIS DataDiscovery webinar
The [WheatIS project](http://www.wheatis.org/) aims at building an International Wheat Information System to support the wheat research community. The main objective is to provide a single-access web base system to access to the available data resources and bioinformatics tools. The project is...
Scientific topics: Data management
Keywords: wheat, information system, data discovery
Resource type: Webinar, Slides, Video
WheatIS DataDiscovery webinar
https://wheat-urgi.versailles.inrae.fr/About-us/News/WheatIS-webinar-replay
http://tess.elixir-uk.org/materials/wheatis-datadiscovery-webinar
The [WheatIS project](http://www.wheatis.org/) aims at building an International Wheat Information System to support the wheat research community. The main objective is to provide a single-access web base system to access to the available data resources and bioinformatics tools. The project is endorsed by the [Wheat Initiative](https://www.wheatinitiative.org/).
The [WheatIS DataDiscovery tool](https://urgi.versailles.inrae.fr/wheatis/) allows to search data in all the wheat resources around the world.
This Webinar described how to use the tool, what data are available, how to join, etc.
The replay is available on [Youtube](https://youtu.be/FoVXBhO8arY).
Raphaël Flores
Cyril Pommier
Nicolas Francillonne
Hadi Quesneville
Anne-Françoise Adam-Blondon
Michael Alaux
Taner Sen
Data management
wheat, information system, data discovery
Researchers
Scientists
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://www.mygoblet.org/training-portal/materials/introduction-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.
allegra.via Via
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
https://www.mygoblet.org/training-portal/materials/using-r-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.
allegra.via Via
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://www.mygoblet.org/training-portal/materials/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.
allegra.via Via
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://www.mygoblet.org/training-portal/materials/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.
allegra.via Via
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://www.mygoblet.org/training-portal/materials/writing-functions-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.
allegra.via Via
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://www.mygoblet.org/training-portal/materials/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.
allegra.via Via
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...
Linear Motifs and Phosphorylation Sites
https://www.mygoblet.org/training-portal/materials/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
allegra.via Via
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://www.mygoblet.org/training-portal/materials/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.
allegra.via Via
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://www.mygoblet.org/training-portal/materials/introduction-unix-0
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
allegra.via Via
Bioinformatics, Programming, Unixlinux
Anyone wants to start using the Unix/Linux OS
2013-07-04
2017-10-09