Virxicon: a lexicon of viral sequences

Author:

Kudla Mateusz12,Gutowska Kaja13,Synak Jaroslaw1,Weber Mirko2,Bohnsack Katrin Sophie2ORCID,Lukasiak Piotr13,Villmann Thomas2,Blazewicz Jacek13,Szachniuk Marta13ORCID

Affiliation:

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

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

3. Department of Structural Bioinformatics, Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan 61-704, Poland

Abstract

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/.

Funder

National Science Centre, Poland

European Social Fund

Institute of Bioorganic Chemistry

Polish Academy of Sciences

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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