you're stuck running it yourself.Īnother popular option for next-gen analysis is the statistical computing environment R/ Bioconductor(similar to Matlab). That software is unlikely to be available on Galaxy, and if it does end up being incorporated into Galaxy, it may not end up there for another year. Lets say a new method or new piece of software becomes available to help address a key question with your data. Learning things this way also makes you self-reliant. Personally, I feel researchers get more out of it if they learn how to do things on their own, including installing software. This tutorial assumes you will analyze data on your own computer/server. By far the most popular 'cloud' based analysis tool is Galaxy, which is a compendium of programs (and user/data management tools) for bioinformatics analysis. These days we call this 'analyzing your data in the cloud'. You can also always consider dual booting your windows system, or using some sort of virtualization software and run Linux at the same time.Īnother option is to run your analysis on a web server. However, Cygwin is available as a Linux emulator that runs on Windows computers.

Windows PCs are not ideal given much of the analysis software is not configured to run on them. Mac is an attractive choice for many users given it's a good blend between usability and a native UNIX-style operating system.

Linux systems tend to be the most compatible with academic software, and I find it is easier to install analysis software on Linux than any other operating system. Linux, BSD, Solaris, Mac OS X, or really any UNIX-based operating system will work well.

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