000			02066nam a22001697a 4500
008			220825b2021 |||||||| |||| 00| 0 eng d
020			_a9789391043292
082			_a570.2855 CLA-K
100			_aClark, Ken Youens
245			_aMastering Python for bioinformatics : _bhow to write flexible, documented, tested python code for research computing / _cKen Youens Clark
260			_aUSA _bO Reilly _c2021
300			_a429 p.
365			_aINR _b650.00.
500			_aShroff Publishers do not endorse the preview pages of kindle linked to our ISBNs. All Indian Reprints of O'Reilly are Printed in Grayscale Life scientists today urgently need training in bioinformatics skills. Too many bioinformatics programs are poorly written and barely maintained--usually by students and researchers who've never learned basic programming skills. This practical guide shows postdoc bioinformatics professionals and students how to exploit the best parts of Python to solve problems in biology while creating documented, tested, reproducible software. Ken Youens-Clark, author of Tiny Python Projects (Manning), demonstrates not only how to write effective Python code but also how to use tests to write and refactor scientific programs. You'll learn the latest Python features and toolsâ??including linters, formatters, type checkers, and testsâ??to create documented and tested programs. You'll also tackle 14 challenges in Rosalind, a problem-solving platform for learning bioinformatics and programming. Create command-line Python programs to document and validate parameters Write tests to verify refactor programs and confirm they're correct Address bioinformatics ideas using Python data structures and modules such as Biopython Create reproducible shortcuts and workflows using makefiles Parse essential bioinformatics file formats such as FASTA and FASTQ Find patterns of text using regular expressions Use higher-order functions in Python like filter(), map(), and reduce()
650			_aPython (Computer program language)
650			_aBioinformatics
999			_c80334 _d80334