Literature DB >> 28466792

Orthoscape: a cytoscape application for grouping and visualization KEGG based gene networks by taxonomy and homology principles.

Zakhar Sergeevich Mustafin1, Sergey Alexandrovich Lashin2,3, Yury Georgievich Matushkin1, Konstantin Vladimirovich Gunbin1, Dmitry Arkadievich Afonnikov1,4.   

Abstract

BACKGROUND: There are many available software tools for visualization and analysis of biological networks. Among them, Cytoscape ( http://cytoscape.org/ ) is one of the most comprehensive packages, with many plugins and applications which extends its functionality by providing analysis of protein-protein interaction, gene regulatory and gene co-expression networks, metabolic, signaling, neural as well as ecological-type networks including food webs, communities networks etc. Nevertheless, only three plugins tagged 'network evolution' found in Cytoscape official app store and in literature. We have developed a new Cytoscape 3.0 application Orthoscape aimed to facilitate evolutionary analysis of gene networks and visualize the results.
RESULTS: Orthoscape aids in analysis of evolutionary information available for gene sets and networks by highlighting: (1) the orthology relationships between genes; (2) the evolutionary origin of gene network components; (3) the evolutionary pressure mode (diversifying or stabilizing, negative or positive selection) of orthologous groups in general and/or branch-oriented mode. The distinctive feature of Orthoscape is the ability to control all data analysis steps via user-friendly interface.
CONCLUSION: Orthoscape allows its users to analyze gene networks or separated gene sets in the context of evolution. At each step of data analysis, Orthoscape also provides for convenient visualization and data manipulation.

Entities:  

Keywords:  Cytoscape plugin; Evolution; Gene regulatory network; Metabolic pathway; Ortholog; Paralog; Phylostratigraphy

Mesh:

Year:  2017        PMID: 28466792      PMCID: PMC5333177          DOI: 10.1186/s12859-016-1427-5

Source DB:  PubMed          Journal:  BMC Bioinformatics        ISSN: 1471-2105            Impact factor:   3.169


  42 in total

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Journal:  Trends Pharmacol Sci       Date:  2010-02-01       Impact factor: 14.819

2.  MODEVO: exploring modularity and evolution of protein interaction networks.

Authors:  Michał Woźniak; Jerzy Tiuryn; Janusz Dutkowski
Journal:  Bioinformatics       Date:  2010-05-27       Impact factor: 6.937

3.  A phylogenetically based transcriptome age index mirrors ontogenetic divergence patterns.

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Journal:  Nature       Date:  2010-12-09       Impact factor: 49.962

4.  Steroids, triterpenoids and molecular oxygen.

Authors:  Roger E Summons; Alexander S Bradley; Linda L Jahnke; Jacob R Waldbauer
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2006-06-29       Impact factor: 6.237

5.  MetaNetter: inference and visualization of high-resolution metabolomic networks.

Authors:  Fabien Jourdan; Rainer Breitling; Michael P Barrett; David Gilbert
Journal:  Bioinformatics       Date:  2007-11-14       Impact factor: 6.937

6.  A general method applicable to the search for similarities in the amino acid sequence of two proteins.

Authors:  S B Needleman; C D Wunsch
Journal:  J Mol Biol       Date:  1970-03       Impact factor: 5.469

Review 7.  A survey of current software for network analysis in molecular biology.

Authors:  Sterling Thomas; Danail Bonchev
Journal:  Hum Genomics       Date:  2010-06       Impact factor: 4.639

8.  Resurrecting the ancestral steroid receptor: ancient origin of estrogen signaling.

Authors:  Joseph W Thornton; Eleanor Need; David Crews
Journal:  Science       Date:  2003-09-19       Impact factor: 47.728

9.  GASOLINE: a Cytoscape app for multiple local alignment of PPI networks.

Authors:  Giovanni Micale; Andrea Continella; Alfredo Ferro; Rosalba Giugno; Alfredo Pulvirenti
Journal:  F1000Res       Date:  2014-07-01

10.  Pathways on demand: automated reconstruction of human signaling networks.

Authors:  Anna Ritz; Christopher L Poirel; Allison N Tegge; Nicholas Sharp; Kelsey Simmons; Allison Powell; Shiv D Kale; T M Murali
Journal:  NPJ Syst Biol Appl       Date:  2016-03-03
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  4 in total

Review 1.  Towards a Dynamic Interaction Network of Life to unify and expand the evolutionary theory.

Authors:  Eric Bapteste; Philippe Huneman
Journal:  BMC Biol       Date:  2018-05-29       Impact factor: 7.431

2.  Nine Genes Mediate the Therapeutic Effects of Iodine-131 Radiotherapy in Thyroid Carcinoma Patients.

Authors:  Han Shuwen; Yang Xi; Da Miao; Xu Jiamin; Zhuang Jing; Gao Weili
Journal:  Dis Markers       Date:  2020-06-16       Impact factor: 3.434

3.  Feifukang ameliorates pulmonary fibrosis by inhibiting JAK-STAT signaling pathway.

Authors:  Hongbo Li; Zhenkai Wang; Jie Zhang; Youlei Wang; Chen Yu; Jinjin Zhang; Xiaodong Song; Changjun Lv
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4.  Phylostratigraphic Analysis Shows the Earliest Origination of the Abiotic Stress Associated Genes in A. thaliana.

Authors:  Zakhar S Mustafin; Vladimir I Zamyatin; Dmitrii K Konstantinov; Aleksej V Doroshkov; Sergey A Lashin; Dmitry A Afonnikov
Journal:  Genes (Basel)       Date:  2019-11-22       Impact factor: 4.096

  4 in total

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