Python for Bioinformatics: Biopython

Biopython 是一个处理生物数据的 python 库。

Biopython 提供了一组工具来对 DNA 数据和蛋白质数据等生物数据进行生物信息学计算。自从我开始学习生物信息学以来，我一直在使用 Biopython，它的功能从未让我失望过。这是一个了不起的库，它提供了广泛的功能，从读取带有生物数据的大文件到对齐序列。在本文中，我将向您介绍 Biopython 的一些基本功能，这些功能可以使实现变得更加容易。

要安装 Biopython 并运行 Biopython 代码，我们将使用一个名为 Google Colaboratory 的 Python 网络 IDE。

Google Colab 是一款出色的深度学习任务工具。它是一个托管的 Jupyter 笔记本，无需设置，并且具有出色的免费版本，可以免费访问 Google 计算资源，例如 GPU 和 TPU。

Google Colab 支持 Python（自 2019 年 10 月起仅允许创建 Python 3 笔记本），但在某些情况下，通过进一步修改，可能会使 R、Swift 或 Julia 工作。

请记住，自 2020 年 1 月 1 日起，不再支持 Python 2。

有几种方法可以开始使用 Google Colab，我们将逐一介绍。所有方法都非常简单，这取决于您要开始处理什么（即新笔记本或 GitHub 存储库）。

第一种方法是转到您的 Google Drive 帐户。在左上角选择“新建”，然后在下拉面板中选择“更多”，然后选择“Google Collaboratory”。

本课程适用于
生物信息学家、程序员、药物设计师、生物化学家、生物学家。

Published 05/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 11 lectures (1h 43m) | Size: 744.7 MB

Learn Biopython in Google Colab.

What you’ll learn
You will learn to handle Biological Data
You will learn to Perform Bioinformatics Computations on Biological Data such as DNA data and protein data.
You will learn Basic to Advanced functions of Biopython.
You will learn the application of Python Programming Language in Biological World.

Requirements
Basic knowledge of Nucleic Acid , Protein and Programming Language is required.

Description
Biopython is a python library to handle Biological Data.

Biopython provides a set of tools to perform bioinformatics computations on biological data such as DNA data and protein data. I have been using Biopython ever since I started studying bioinformatics and it has never let me down with its functions. It is an amazing library which provides a wide range of functions from reading large files with biological data to aligning sequences. In this article, I will introduce you to some basic functions of Biopython which can make implementations much easier.

To install Biopython and to run the Biopython Codes we will use a a web IDE for python called as Google Colaboratory.

Google Colab is an excellent tool for deep learning tasks. It is a hosted Jupyter notebook that requires no setup and has an excellent free version, which gives free access to Google computing resources such as GPUs and TPUs.

Google Colab supports Python (and as of October 2019 only allows the creation of Python 3 notebooks), though in some cases with further tinkering it might be possible to get R, Swift, or Julia to work.

Have in mind that since the 1st January 2020, Python 2 is no longer supported.

There are several ways to get started with Google Colab and we will go over each of them. All approaches are quite easy and it depends on what you want to start working on (i.e. fresh notebook or GitHub repository).

The first way is to go over to your Google Drive account. In the top left corner select “New”, then “More” in the drop-down panel, and then “Google Collaboratory”.

Who this course is for
Bioinformatician, Programmers, Drug Designers , Biochemists , Biologists.