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Mastering Python for Bioinformatics

169,000₫

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.

✪ Miễn phí GIAO HÀNG đơn hàng từ 399.000đ
✪ Giao hàng COD toàn quốc nhanh chóng từ 2 - 4 ngày
✪ Giao hàng HOẢ TỐC trong nội thành Hà Nội
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Mã sản phẩm: STA649
Danh mục: Sách IT, Sách chuyên ngành
Tình trạng: Còn hàng

Mô tả

Mastering Python for Bioinformatics: How to Write Flexible, Documented, Tested Python Code for Research Computing

(Sách gia công, Bìa mềm)

Mastering Python for Bioinformatics

Thể loại:Computers - Programming

Năm:2021

In lần thứ:1

Ngôn ngữ:English

Trang:458

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 tools--including linters, formatters, type checkers, and tests--to create documented and tested programs. You'll also tackle 14 challenges at 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()