5 Simple Tips for Bioinformatics Researchers to Improve Their Data Analysis

Studying bioinformatics is very exciting. It can, however, be overwhelming. There is lots of data to work through, analyze, and store. Writing down notes, findings and ideas sometimes need to happen all at once. To help make this all easier, follow these simple tips:

Visualize your data

If you can visualize your data and explore it, it will be easier to troubleshoot data analysis. Many of the research in the field is simply hypotheses which mean that visualization is just a method to validate the research. When using a data-driven research approach, interactive data visualization is seen as one of the core research tools.

Script your analysis

Instead of using a program like Microsoft Excel, we suggest scripting your analysis in one scripting language. Excel presents problems with formatting and reproducibility which can cause you to do double work or lose your work altogether. Scripting analysis means that you can self-document and reproduce by simply running a single console command.

Use Cloud as storage

Cloud is a great alternative to traditional storage of research and findings. Several backup hard-drives and other systems can get confusing and hard to manage. Cloud offers the opportunity to safely store your research offsite and in a way that you can retrieve it anywhere and anytime with no fear of losing the data because the system crashed.

Follow in the steps of those before you

Instead of starting your research and analysis from scratch, visit forums and archives related to bioinformatics. You will find many forums, blogs, and research archives that will help you with data analysis.

Learn to use Linux

Many people fear using Linux as it is complicated. However, for bioinformatics researchers, it would be wise to get a basic understanding and learn to use it. Most bioinformatics tools use Linux as an operating system. To help you make the most of your research and have the best tools, learn to use Linux.

With these simple tips, you should be well on your way to a more streamlined method of research, analysis, and data storage.

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