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15 materials found

Target audience: beginner bioinformaticians  or Anyone who wants to become ... 


Course design: Considerations for trainers – a Professional Guide

This Professional Guide in the Resources for Training Trainers series introduces a structured approach to course design, highlighting the importance of articulating learning outcomes commensurate with the cognitive complexity of the target learning, prior to devising learning experiences and...

Keywords: Curriculum development, course design, learning outcomes, Bloom's Taxonomy, assessment, course evaluation, training trainers, training material

ELIXIR TtR course: Basic genomics using advanced analysis tools

Materials from the ELIXIR workshop “ELIXIR TtR course: Basic genomics using advanced analysis tools”, Nov 5-6 2018 at the University of Ljubljana, Faculty of Medicine, Ljubljana, Slovenia

Scientific topics: Genomics

Keywords: Galaxy, training, Genomics, eLearning, EeLP

Resource type: course materials, Training materials, Slides

UNIX Fundamentals

This self-learning tutorial aims to present the UNIX environment and to provide the most basic commands to users with no or very little UNIX knowledge.
The examples are taken from various Biological fields but have been chosen carefully to be easily accessible to a wide audience.
At the end of...

Keywords: Problem based learning, Programming, Unix

Resource type: e-learning

High-throughput sequencing training materials repository

This repository includes training materials on the analysis of high-throughput sequencing (HTS) data, on the following topics: Introduction to HTS, RNA-seq, ChIP-seq and variant calling analysis.
Materials have been annotated following the standards and guidelines proposed at the “Best practices...

Scientific topics: Bioinformatics, Data architecture, analysis and design

Keywords: High throughput sequencing analysis, Rna seq chip seq anayses, Variant calling

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

Training Bioinformatics in the Cloud

I present the points of view, the challenges and advantages of developing training materials through the cloud.

Keywords: Advanced bioinformatics training, Cloud computing, Training

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

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

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

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

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

Bioinformatics: Gene-protein-structure-function

This presentation examines the available in silico tools for protein structure and function prediction. It examines the major protein family databases (PROSITE, PRINTS, Pfam, etc.), and explores why tools like PSI-BLAST, while convenient and easy to use, may not always give optimal results. The...

Keywords: Expert systems, Genequiz, Protein family characterisation, Protein family databases, Protein sequence analysis, Psi blast

InterPro: An introduction

This presentation introduces the background to the InterPro database: what it is, where it came from, and what was the vision behind its creation. It examines in particular whether the database has evolved in line with its original vision, and asks whether the resource is still fit for purpose. 

Keywords: Integrated diagnostic tools, Protein family characterisation, Protein sequence analysis

PRINTS: A protein family database with a difference

A presentation designed to introduce the concept of protein family analysis and characterisation using motif-based methods, with a particular focus on protein fingerprinting. Following a general introduction to sequence analysis, and the fingerprint approach, specific examples are given to...

Keywords: Functional diagnosis, Protein family characterisation, Protein sequence analysis

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