Workshops and courses

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Introduction to Linux and Workflows for Biologists

Most high-throughput bioinformatics work these days takes place on the Linux command line. The programs which do the majority of the computational heavy lifting — genome assemblers, read mappers, and annotation tools — are designed to work best when used with a command-line interface. Because the command line can be an intimidating environment, many biologists learn the bare minimum needed to get their analysis tools working. This means that they miss out on the power of Linux to customise their environment and automate many parts of the bioinformatics workflow.

Biological Imaging Data Processing for Data Scientists

[The Open Microscopy Environment](https://www.openmicroscopy.org/) (OME) is an open-source software project that develops tools that enable access, analysis, visualization, sharing and publication of biological image data. OME has three components: * OME-TIFF, standardised file format and data model; * Bio-Formats, a software library for reading proprietary image file formats; and * OMERO, a software platform for image data management and analysis.

Biological Imaging Data Management for Life Scientists

[The Open Microscopy Environment](https://www.openmicroscopy.org/) (OME) is an open-source software project that develops tools that enable access, analysis, visualization, sharing and publication of biological image data. OME has three components: * OME-TIFF, standardised file format and data model; * Bio-Formats, a software library for reading proprietary image file formats; and * OMERO, a software platform for image data management and analysis.

Open Science Tools, Data & Technologies for Efficient Ecological & Evolutionary Research

Join us in Amsterdam on 7 & 8 December for a series of free workshops and a mini-symposium on exciting developments around Open Science for Eco-Evo research. WHY? Open Science has become a scientific mainstream. A substantial intellectual and financial input… The post Open Science Tools, Data & Technologies for Efficient Ecological & Evolutionary Research appeared first on Dutch Techcentre for Life Sciences.

Working with Python: functions and modules

This course will cover concepts and strategies for working more effectively with Python with the aim of writing reusable code. In the morning session, we will briefly go over the basic syntax, data structures and control statements. This will be followed by an introduction to writing user-defined functions. We will finish the course by looking into how to incorporate existing python modules and packages into your programs as well as writing you own modules.

Bioinformatics in Proteomics

This course provides an in-depth understanding in applications of online bioinformatics tools for proteomic research. Course date: 6 December 2017 During the course, easy to follow explanations are given for extensive sequence analysis, post-translational and chemical modifications, and structural configuration… The post Bioinformatics in Proteomics appeared first on Dutch Techcentre for Life Sciences.

An Introduction to Solving Biological Problems with PERL

This course is aimed at those new to programming and provides an introduction to programming using Perl. During this course you will learn the basics of the Perl programming language, including how to store data in Perl’s standard data structures such as arrays and hashes, and how to process data using loops, functions, and many of Perl’s built in operators. You will learn how to write and run your own Perl scripts and how to pass options and files to them. The course also covers sorting, regular expressions, references and multi-dimensional data structures.

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