By Röbbe Wünschiers
-Teaches the reader tips on how to use Unix, that's the major to uncomplicated computing and permits the main flexibility for bioinformatics applications
-Written in particular with the wishes of molecular biologists in mind
-Easy to stick with, written for newbies with out computational knowledge
-Includes examples from organic info analysis
-Can be use both for self-teaching or in courses
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Additional resources for Computational Biology —: Unix/Linux, Data Processing and Programming
1 Login The process of making yourself known to the computer system and getting to your Unix/Linux account is called logging in. There are two prerequisites: ﬁrst you need to connect to the computer, and second you must have an account on that computer. That is like withdrawing money from a bank account. You must identify yourself to the cash machine before you get any money and you must, of course, have a bank account (with some money in it). There are several ways to connect to a Unix-based computer.
Tgz $ In line 1 we check that we are in the directory tartest. ). ). We choose to follow the progress of the program (v). tgz, which is compressed (z). Furthermore, we do not wish to follow the program’s progress (no verbose). In line 15 we use the command ls to list all ﬁles in the parent directory that begin with daten. Furthermore, we instruct ls to give ﬁle details (-l) and print the ﬁle size human-readable (-h). As you can see, the compressed archive is much, much smaller than the uncompressed version.
Of course, apart from these ergonomic diﬀerences there are some hard facts, which make both operating systems clearly diﬀerent. For example, with the exception of Windows NT, which also runs on Alpha processors, the desktop 18 2 Unix/Linux and server-oriented Windows operating systems run only on Intel and AMD processors. Furthermore, Unix-based operating systems are much closer to the data. Thus it is much easier to format and analyze ﬁles. 7 What Is the Diﬀerence Between Unix/Linux and Mac OS X?
Computational Biology —: Unix/Linux, Data Processing and Programming by Röbbe Wünschiers