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JSpeciesWS: a web server for prokaryotic species circumscription based on pairwise genome comparison

Open access
Richter, Michael, Rosselló-Móra, Ramon, Oliver Glöckner, Frank, Peplies, Jörg·2016·Bioinformatics

Abstract

Summary: JSpecies Web Server (JSpeciesWS) is a user-friendly online service for in silico calculating the extent of identity between two genomes, a parameter routinely used in the process of polyphasic microbial species circumscription. The service measures the average nucleotide identity (ANI) based on BLAST+ (ANIb) and MUMmer (ANIm), as well as correlation indexes of tetra-nucleotide signatures (Tetra). In addition, it provides a Tetra Correlation Search function, which allows to rapidly compare selected genomes against a continuously updated reference database with currently about 32 000 published whole and draft genome sequences. For comparison, own genomes can be uploaded and references can be selected from the JSpeciesWS reference database. The service indicates whether two genomes share genomic identities above or below the species embracing thresholds, and serves as a fast way to allocate unknown genomes in the frame of the hitherto sequenced species. Availability and implementation: JSpeciesWS is available at http://jspecies.ribohost.com/jspeciesws. Supplementary information: Supplementary data are available at Bioinformatics online. Contact: mrichter@ribocon.com

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Metadata

Authors
Richter, M., Rosselló-Móra, R., Oliver Glöckner, F., & Peplies, J.
Venue
Bioinformatics
Published
2015-11-16
Volume
32
Issue
6
Pages
929-931
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2175094144
Cited by
2,932
References
3
FWCI
32.03
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: JSpeciesWS: a web server for prokaryotic species circumscription based on pairwise genome comparison. https://app.cochat.ai/papers/10.1093/bioinformatics/btv681
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Richter, M., Rosselló-Móra, R., Oliver Glöckner, F., & Peplies, J. (2016). JSpeciesWS: a web server for prokaryotic species circumscription based on pairwise genome comparison. Bioinformatics. https://doi.org/10.1093/bioinformatics/btv681

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