Open Access
Open access
Nucleic Acids Research, volume 50, issue W1, pages W534-W540

OrthoQuantum: visualizing evolutionary repertoire of eukaryotic proteins

Publication typeJournal Article
Publication date2022-05-24
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor14.9
ISSN03051048, 13624962
Genetics
Abstract

Extensive amounts of data from next-generation sequencing and omics studies have led to the accumulation of information that provides insight into the evolutionary landscape of related proteins. Here, we present OrthoQuantum, a web server that allows for time-efficient analysis and visualization of phylogenetic profiles of any set of eukaryotic proteins. It is a simple-to-use tool capable of searching large input sets of proteins. Using data from open source databases of orthologous sequences in a wide range of taxonomic groups, it enables users to assess coupled evolutionary patterns and helps define lineage-specific innovations. The web interface allows to perform queries with gene names and UniProt identifiers in different phylogenetic clades and supplement presence with an additional BLAST search. The conservation patterns of proteins are coded as binary vectors, i.e., strings that encode the presence or absence of orthologous proteins in other genomes. These strings are used to calculate top-scoring correlation pairs needed for finding co-inherited proteins which are simultaneously present or simultaneously absent in specific lineages. Profiles are visualized in combination with phylogenetic trees in a JavaScript-based interface. The OrthoQuantum v1.0 web server is freely available at http://orthoq.bioinf.fbb.msu.ru along with documentation and tutorial.

Top-30

Journals

1
Genome Biology and Evolution
1 publication, 50%
1

Publishers

1
Oxford University Press
1 publication, 50%
1
  • We do not take into account publications without a DOI.
  • Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
Share
Cite this
GOST |
Cite this
GOST Copy
Ilnitskiy I. S. et al. OrthoQuantum: visualizing evolutionary repertoire of eukaryotic proteins // Nucleic Acids Research. 2022. Vol. 50. No. W1. p. W534-W540.
GOST all authors (up to 50) Copy
Ilnitskiy I. S., Zharikova A. A., Mironov A. A. OrthoQuantum: visualizing evolutionary repertoire of eukaryotic proteins // Nucleic Acids Research. 2022. Vol. 50. No. W1. p. W534-W540.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1093/nar/gkac385
UR - https://doi.org/10.1093/nar/gkac385
TI - OrthoQuantum: visualizing evolutionary repertoire of eukaryotic proteins
T2 - Nucleic Acids Research
AU - Ilnitskiy, Ivan S
AU - Zharikova, Anastasia A.
AU - Mironov, Andrey A.
PY - 2022
DA - 2022/05/24
PB - Oxford University Press
SP - W534-W540
IS - W1
VL - 50
SN - 0305-1048
SN - 1362-4962
ER -
BibTex |
Cite this
BibTex Copy
@article{2022_Ilnitskiy,
author = {Ivan S Ilnitskiy and Anastasia A. Zharikova and Andrey A. Mironov},
title = {OrthoQuantum: visualizing evolutionary repertoire of eukaryotic proteins},
journal = {Nucleic Acids Research},
year = {2022},
volume = {50},
publisher = {Oxford University Press},
month = {may},
url = {https://doi.org/10.1093/nar/gkac385},
number = {W1},
pages = {W534--W540},
doi = {10.1093/nar/gkac385}
}
MLA
Cite this
MLA Copy
Ilnitskiy, Ivan S., et al. “OrthoQuantum: visualizing evolutionary repertoire of eukaryotic proteins.” Nucleic Acids Research, vol. 50, no. W1, May. 2022, pp. W534-W540. https://doi.org/10.1093/nar/gkac385.
Found error?