Virxicon：病毒序列词典。

Virxicon: a lexicon of viral sequences.

作者信息

Kudla Mateusz, Gutowska Kaja, Synak Jaroslaw, Weber Mirko, Bohnsack Katrin Sophie, Lukasiak Piotr, Villmann Thomas, Blazewicz Jacek, Szachniuk Marta

机构信息

Institute of Computing Science and European Centre for Bioinformatics and Genomics, Poznan University of Technology, Poznan 60-965, Poland.

Saxon Institute for Computational Intelligence and Machine Learning, University of Applied Sciences Mittweida, Mittweida 09648, Germany.

出版信息

Bioinformatics. 2021 Apr 1;36(22-23):5507-5513. doi: 10.1093/bioinformatics/btaa1066.

DOI:10.1093/bioinformatics/btaa1066

PMID:33367605

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8016492/

Abstract

MOTIVATION

Viruses are the most abundant biological entities and constitute a large reservoir of genetic diversity. In recent years, knowledge about them has increased significantly as a result of dynamic development in life sciences and rapid technological progress. This knowledge is scattered across various data repositories, making a comprehensive analysis of viral data difficult.

RESULTS

In response to the need for gathering a comprehensive knowledge of viruses and viral sequences, we developed Virxicon, a lexicon of all experimentally acquired sequences for RNA and DNA viruses. The ability to quickly obtain data for entire viral groups, searching sequences by levels of taxonomic hierarchy-according to the Baltimore classification and ICTV taxonomy-and tracking the distribution of viral data and its growth over time are unique features of our database compared to the other tools.

AVAILABILITYAND IMPLEMENTATION

Virxicon is a publicly available resource, updated weekly. It has an intuitive web interface and can be freely accessed at http://virxicon.cs.put.poznan.pl/.

摘要

动机

病毒是最丰富的生物实体，构成了巨大的遗传多样性库。近年来，由于生命科学的动态发展和快速的技术进步，关于病毒的知识显著增加。这些知识分散在各种数据存储库中，使得对病毒数据进行全面分析变得困难。

结果

为了满足全面了解病毒和病毒序列的需求，我们开发了Virxicon，这是一个包含所有通过实验获得的RNA和DNA病毒序列的词汇表。与其他工具相比，我们的数据库具有能够快速获取整个病毒组的数据、根据巴尔的摩分类法和国际病毒分类委员会分类法按分类层次级别搜索序列以及跟踪病毒数据的分布及其随时间增长的独特功能。