Register training material
19 materials found

Authors: allegra.via Via  or Paul Yorke 


Ensembl Browser Workshop: Plants and Microbes

Ensembl is a joint project between European Bioinformatics Institute (EMBL-EBI) and the Wellcome Trust Sanger Institute to provide a source of thorough, integrated annotation data across a variety of genomes.
This one-day workshop not only offers participants the opportunity to glean background...

Signalling Networks: From Data to Modelling

What is the course about?
Signalling pathways and networks are very important to regulate and control cellular processes, cell fate, and their malfunctions often lead to diseases, such as cancer or diabetes. This course provides an introductory overview of the most useful resources and tools to...

Keywords: Signalling

Network Analysis with Cytoscape and PSICQUIC

This workshop will guide novice users through the process of analysing interaction networks – that allow biologists to map and characterise signalling pathways and to predict the function of unknown proteins. It will use practical examples in the popular open-source tool Cytoscape and the...

Keywords: Cytoscape

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

Metagenomics 2015

Link to the GitHub repo containing all the publicly available files from the 2015 Metagenomics course held at TGAC in November 2015

Scientific topics: Metagenomics

Keywords: Metagenomics

Introduction to Linux Command Line

Introduction to Linux basic command line

Scientific topics: Computer science

Keywords: Linux basics

EMBO 2015

Link to the GitHub repository containing all the training materials made available for the 2015 EMBO event held at TGAC

Scientific topics: Protein binding sites, Molecular interactions, pathways and networks

Keywords: Bioinformatics, Multiple sequence alignment, Network visualization, Protein protein interaction networks

GBS

Training Materials from the 2015 GBS course run by TGAC

Keywords: Genotyping

De Novo

Training Materials from the 2015 De Novo course run by TGAC

Keywords: De novo, De novo genome assembly

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

De Novo Assembly @ TGAC 2015

This course took place between 12-15 May 2015
Overview:
The course will provide an introduction to de novo assembly, with a hands on introduction followed by in-depth analysis of the key steps in the process. It covers several aspects such as the initial setup of a de novo genome sequencing...

Keywords: De novo

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

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

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

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