By Sebastian Bassi
Programming wisdom is frequently invaluable for locating an answer to a organic challenge. in keeping with the author’s adventure operating for an agricultural biotechnology corporation, Python for Bioinformatics is helping scientists clear up their organic difficulties by means of aiding them comprehend the fundamentals of programming. Requiring no earlier wisdom of programming-related recommendations, the e-book makes a speciality of the easy-to-use, but robust, Python desktop language. The ebook starts with a really uncomplicated creation that teaches the rules of programming. It then introduces the Biopython package deal, which might be necessary in fixing lifestyles technology difficulties. the subsequent part covers subtle instruments for bioinformatics, together with relational database administration structures and XML. The final half illustrates functions with resource code, similar to series manipulation, filtering vector infection, calculating DNA melting temperature, parsing a genbank dossier, inferring splicing websites, and extra. The appendices offer a wealth of supplementary details, together with directions for fitting Python and Biopython and a Python language and magnificence consultant. by way of incorporating examples in biology in addition to code fragments all through, the writer areas a distinct emphasis on perform, encouraging readers to test with the code. He indicates tips to use Python and the Biopython package deal for development internet functions, genomic annotation, info manipulation, and numerous different purposes.
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Extra resources for Python for Bioinformatics (Chapman & Hall CRC Mathematical & Computational Biology)
Sample text
Just keep on reading. We’ll see all these points during this chapter. Apart from sequences, there are also unordered data types: dictionaries and sets. A dictionary 2 stores relationships between a key and a value, while a set is just an unordered collection of values. The next pages are focused on ordered (string, list, and tuple) and unordered types (dictionary and set). 1 Strings A string is a type of sequence of symbols delimited by a single quote (’), double quotes (”), single triple quotes (”’), or double triple quotes (”””).
I’m a multiline string""" The character ’\n’ represents an end-of-line (EOL) character. Therefore, the code above could be written in one line as: "Hi! I’m a\nmultiline\n string" You can use triple quotation marks to build and format a string just like you’d expect to see it displayed. There are other uses for triple quoted strings such as documentation. 1). x There are two types of strings: byte strings and Unicode strings. Bytestrings contain bytes while Unicode is intended for text. ” We will see the difference between mutable and immutable later on this chapter.
2010 by Taylor and Francis Group, LLC 22 Python for Bioinformatics While input also takes a string of data, it attempts to evaluate it as if it were a Python program: >>> name = input("Enter your name: ") Enter your name: Seba Traceback (most recent call last): File "