By Jason Kinser
This textbook presents an advent for computational tools in bioinformatics utilizing a spreadsheet, Python 3.4 and MySQL. tools are proven to govern easy details and to execute universal analytical recommendations. this article is designed for the biology scholar that has little or no event in machine research.
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Extra info for Computational Methods for Bioinformatics. Python 3.4
9 A more efficient method. . . . . . Loading Romeo and Juliet. . . . . Capturing all of the words that follow ‘the Isolating unique words.
12The RunKMeans function. . . . . . 13The GnuPlotFiles function. . . . . . 14The GoPolar function. . . . . . . 15Calling the k-means function. . . . . . 16The FastFloyd function.
The remove function. . . . . . . . . Creating a string. . . . . . . . . . . Simple slicing in strings. . . . . . . . . Special characters. . . . . . . . . . Concatenation. . . . . . . . . . . Repeating characters. . . . . . . . . Using the find function. . . . . . . . . Using the count function. . . . . . . . Conversion to upper or lower case. . . . . . Using the split and join functions. . . . . . Using the replace function.