Download Computational Methods for Bioinformatics for Python 3.4 by Jason Kinser PDF

By Jason Kinser

This textbook offers an advent for computational equipment in bioinformatics utilizing a spreadsheet, Python 3.4 and MySQL. tools are proven to govern easy info and to execute universal analytical options. this article is designed for the biology scholar that has little or no event in laptop research.

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Additional resources for Computational Methods for Bioinformatics for Python 3.4

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15The DNAFromASN1 function. . . . . 1 file.. . . . 1 The covariance matrix of random data. . . 2 The covariance matrix of modified data. . . 3 Testing the eigenvector engine. . . . . 4 Proving that the eigenvectors are orthonormal. 5 The PCA function. . . . . . . . 6 The Project function. . . . . . . . 7 The AllDistances function. . . . . . 8 The distance test. . . . . . . . . 9 The first two dimensions in PCA space. . . xxxiv . . . . . . . .

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. . . . . . . .

21The commands for an assembly. . . . . . . 22Using the BestPairs function. . . . . . . 23Showing two parts of the assembly. . . . . . 24The ConsensusCol function. . . . . . . 25The CatSeq function. . . . . . . . . 26The InitGA function. . . . . . . .

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