five

Custom script for feature extraction from Genbank files

收藏
DataONE2024-01-04 更新2024-06-08 收录
下载链接:
https://search.dataone.org/view/sha256:58dfcc013c18d337f989928e4b92e7fdeab427b97248b6523b55e4f43ef70a2f
下载链接
链接失效反馈
官方服务:
资源简介:
Microbes are thought to be distributed and circulated around the world, but the connection between marine and terrestrial microbiomes is largely unknown. We use Plantibacter, a representative plant-associated genus, as our research model to show the global distribution and adaptation of plant-related bacteria in plant-free environments, especially in the remote Southern Ocean and the deep Atlantic Ocean. The marine isolates and their plant-associated relatives shared over 98% whole-genome average nucleotide identity (ANI), indicating recent divergence and ongoing speciation from plant-related niches to marine environments. Comparative genomics revealed that the marine strains acquired new genes via horizontal gene transfer from non-Plantibacter species and refined existing genes through positive selection to improve adaptation to new habitats. Meanwhile, marine strains retained the ability to interact with plants, such as modifying root system architecture and promoting germination. Pla..., The script was written in Python to extract isolation source in a genbank file., , # Custom script for feature extraction from Genbank files The script is used to extract isolation source from GenBank files and can be adjusted to extract other features as well. This script can help extract the relevant information batch rather than manually copy the information one by one. The script contains all the information needed to perform the information extraction. GenBank file (x.gb) to be processed should be provided by users. An example GenBank file for test is included in this dataset ([16S_plantibacter_isolates.gb](https://datadryad.org/stash/downloads/file_stream/2637428)). ## Description of the data and file structure The script was written in Python and is Linux compatible. Biopython should be installed in the system to run this script. Steps to run this script on Linux system are as below. 1\. First download the GenBank file (x.gb) into the same location where the script is. 2\. Then change the gb file name to the one written in the script or change the gb file ...
创建时间:
2025-07-25
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作