Suppr超能文献

全球分子数据存储库中的基因。

gene in global molecular data repository.

作者信息

Omonhinmin Conrad, Onuselogu Chinedu

机构信息

Department of Biological Science Biotechnology Cluster, College of Science and Technology, Covenant University, Canaan land Ota, Ogun State, Nigeria.

出版信息

Data Brief. 2022 Mar 23;42:108090. doi: 10.1016/j.dib.2022.108090. eCollection 2022 Jun.

Abstract

The ribulose-bisphosphate carboxylase () gene sequence data in the molecular data repository has been increasing significantly, over the years with contributions from different parts of the world. The abundance of the gene has enhanced its applications in several ways. Bulk records were obtained from National Center for Biotechnology Information (NCBI) GenBank database using the entrez efetch utility as implemented in the Biopython package version 1.77. Records corresponding to the following keywords " AND plants [filter] AND biomol_genomic [PROP] AND is _nuccore [filter]" were created. Generated records were cleaned and then further analysed using the code file in the supplementary materials. Country information was obtained by searching reference information for matches to countries present in the pycountry package. Where no match was found, null was returned. This data article contains information about the plant family and species whose gene sequence has been deposited on the NCBI and regions of the world that has contributed to the repository growth. This data can be used to analyse the intra and inter family relatedness of plant and compare with existing relationships the molecular characterization of plants, evolutionary relationship studies, inferring biogeography origin of plant.

摘要

多年来,随着来自世界各地的贡献,分子数据存储库中的核酮糖-1,5-二磷酸羧化酶()基因序列数据一直在显著增加。该基因的丰富性在多个方面增强了其应用。使用Biopython包版本1.77中实现的entrez efetch实用程序,从美国国家生物技术信息中心(NCBI)的GenBank数据库中获取大量记录。创建了与以下关键词“ AND 植物 [过滤器] AND 生物分子基因组 [属性] AND 是 _ 核苷酸核心 [过滤器]”相对应的记录。生成的记录经过清理,然后使用补充材料中的代码文件进行进一步分析。通过在pycountry包中搜索与国家匹配的参考信息来获取国家信息。如果未找到匹配项,则返回空值。这篇数据文章包含了其基因序列已存入NCBI的植物科和物种的信息,以及为该存储库增长做出贡献的世界区域的信息。这些数据可用于分析植物的科内和科间相关性,并与植物的现有关系、分子特征、进化关系研究、推断植物的生物地理学起源进行比较。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cce/8987485/70bd3fcb1d9c/gr1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验