Here I'm outlining an approach to bioinformatics focusing on using three tools: the keyboard to enter commands, the wide range of functions available at the command line, and storing data in easily searched and manipulated text files. The combination of these three can make bioinformatics analysis faster than using graphical user interfaces (GUIs) because typing into the command line is faster than clicking buttons and selecting menus with a mouse. A series text commands is also easier to reproduce and automate than remembering a sequence of GUI commands.
The best reason for using the keyboard is that it's faster to type a command compared with doing the same thing with a mouse and GUI. If you're using the keyboard to write code the more you can also use the keyboard for other actions such as saving the current document the less your "working flow" is broken by reaching for the mouse. Finally once you know the keyboard shortcuts to do your work learning to touch type will also make you work faster.
The Command Line
The command line gives predictable and reproducible results unlike a graphical interface. A workflow in the command line is easier for someone else to test and execute than a list screenshots of which buttons and menu items to click.
The Linux command line has a wide variety of tools ranging from interacting with the operating system to manipulating entries in a text file. Many bioinformatics applications can also be run at the command line and the benefit of using the command line version is that sequences of commands can be chained together. The output of one command becomes the input of the next command to filter and parse the results. In this way sequences of simple commands can be combined together to perform more complex bioinformatics analysis. As these tasks do not require a user with a mouse either they can be performed simultaneously across multiple machines or scheduled to run overnight.
Binary files in specific formats can usually only be searched and edited by the program that created them. Plain text files are however open to being searched or manipulated by any tool or program. Therefore different data text formats such as CSV, JSON, YAML, and XML can still be searched and edited using similar command line approaches. Combining the command line with text files makes it relatively simple to perform simultaneous large searches or manipulations across many text based files.