June 2023
Intermediate to advanced
460 pages
6h 20m
Japanese
Content preview from Pythonではじめるバイオインフォマティクス ―可読性・拡張性・再現性のあるコードを書くために
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5章
GC含量の計算：FASTA形式ファイルのパースと塩基配列の分析
第1章ではDNA配列に含まれるすべての塩基数を数えました。この演習では、Rosalind GCページ（https://oreil.ly/gv8V7）での説明通り、配列内のGとCを数え、配列の長さで割ってGC含量を求めます。GC含量は様々な場合において役に立つ情報です。分子生物学ではGC含量が高いほど相対的にDNAの融解温度が高いことを示し、タンパク質をコードするDNA配列はGCリッチな領域に存在する傾向があります。GC含量の計算には多数の方法がありますが、いずれもBiopythonを使ってバイオインフォマティクスの主要なファイル形式であるFASTAファイルを解析することから始まります。ここでは、Bio.SeqIOモジュールを使ってファイル内の配列を繰り返し処理し、最も高いGC含量を持つ配列を特定する方法を紹介します。
この章では以下のことを学びます。
Bio.SeqIOを使ってFASTA形式をパースする方法STDIN（スタンダードインと発音）の読み方- リスト内包表記や
filter()やmap()関数を使ってforループの概念を表現するいくつかの方法 - 大きなファイルを解析する際のメモリ割り当てなど、実行時の課題に対処する方法
sorted()関数の詳細- フォーマット文字列にフォーマットの指示を入れる方法
sum()関数を使って数字のリストを加算する方法- 正規表現を使って文字列内の特定のパターンの出現回数をカウントする方法
5.1 はじめましょう
このプログラムのコードとテストはすべて05_gcディレクトリにあります。このプログラムをgc.py（https://docs.python.org/ja/3/library/gc.html ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.