- Bioinformatics with Python Cookbook
- Tiago Antao
- 198字
- 2021-06-10 19:01:50
Getting ready
Our simple example will use data from the region where the LCT gene is located in the human genome. The LCT gene codifies lactase, an enzyme involved in the digestion of lactose.
We will take this information from Ensembl. Go to http://uswest.ensembl.org/Homo_sapiens/Gene/Summary?db=core;g=ENSG00000115850 and choose Export data. The Output format should be BED Format. Gene information should be selected (you can choose more if you want). For convenience, a downloaded file is available in the Chapter02 directory, called LCT.bed.
The Notebook for this code is called Chapter02/Processing_BED_with_HTSeq.ipynb.
Take a look at the file before we start. An example of a few lines of this file is as follows:
track name=gene description="Gene information"
2 135836529 135837180 ENSE00002202258 0 -
2 135833110 135833190 ENSE00001660765 0 -
2 135789570 135789798 NM_002299.2.16 0 -
2 135787844 135788544 NM_002299.2.17 0 -
2 135836529 135837169 CCDS2178.117 0 -
2 135833110 135833190 CCDS2178.116 0 -
The fourth column is the feature name. This will vary widely from file to file, and you will have to check it each and every time. However, in our case, it seems apparent that we have Ensembl Exons (ENSE...), Genbank records (NM_...), and coding region information (CCDS) from the CCDS database (https://www.ncbi.nlm.nih.gov/CCDS/CcdsBrowse.cgi).
- C++程序設計教程
- 精通Nginx(第2版)
- Learning ROS for Robotics Programming(Second Edition)
- Banana Pi Cookbook
- 微信公眾平臺開發(fā):從零基礎到ThinkPHP5高性能框架實踐
- Securing WebLogic Server 12c
- Hands-On Functional Programming with TypeScript
- Node.js Design Patterns
- Python深度學習:基于TensorFlow
- OpenCV 4計算機視覺項目實戰(zhàn)(原書第2版)
- Raspberry Pi Robotic Projects(Third Edition)
- 寫給大家看的Midjourney設計書
- Java7程序設計入門經典
- 深入分析GCC
- Mastering Concurrency in Python