Although it's computational, it needs to be planned and recorded just as laboratory experiments are.There are excellent (free) resources, but also experts you can check in with.Most bioinformatics (and most experts) are self-taught, and you can do the same – if in doubt, use Google!.

Whilst learning bioinformatics from a laboratory perspective can feel daunting to begin with, it is useful to remember that: These programmes utilise either a graphical user interface (GUI), which uses graphical icons and allows a user to press buttons to control the programme, and is usually more user-friendly, or a command line interface (CLI), which requires a knowledge of code, but is often faster and more powerful. Visualising and analysing protein structure (e.g.Geographical imaging software (GIS) (e.g.Statistical analysis (including programmes such as R, SPSS, GraphPad Prism and STATA).Some examples of bioinformatics uses include:

There are challenges to combining these areas, as discussed in this paper. Laboratory scientists often seem to think of bioinformatics as just an add-on to 'wet' laboratory science, but in reality it’s a huge multidisciplinary area, so it’s helpful to understand what it is you want to achieve before you dive into courses or programming languages.

Introduction | Operating Systems | Data formats | CLIs | Bioinformatics programmes Introduction

East African Consortium for Clinical Research.

Worldwide Antimalarial Resistance Network (WWARN).

TREAD (The Research Ethics Application Database).

Sub-Saharan Congenital Anomalies Network.

Member Sites Our network of members around the world.

Graphpad prism free trial extension