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IMMAN: an R/Bioconductor package for Interolog protein network reconstruction, mapping and mining analysis

BACKGROUND: Reconstruction of protein-protein interaction networks (PPIN) has been riddled with controversy for decades. Particularly, false-negative and -positive interactions make this progress even more complicated. Also, lack of a standard PPIN limits us in the comparison studies and results in...

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Autores principales: Ashtiani, Minoo, Nickchi, Payman, Jahangiri-Tazehkand, Soheil, Safari, Abdollah, Mirzaie, Mehdi, Jafari, Mohieddin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373071/
https://www.ncbi.nlm.nih.gov/pubmed/30755155
http://dx.doi.org/10.1186/s12859-019-2659-y
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author Ashtiani, Minoo
Nickchi, Payman
Jahangiri-Tazehkand, Soheil
Safari, Abdollah
Mirzaie, Mehdi
Jafari, Mohieddin
author_facet Ashtiani, Minoo
Nickchi, Payman
Jahangiri-Tazehkand, Soheil
Safari, Abdollah
Mirzaie, Mehdi
Jafari, Mohieddin
author_sort Ashtiani, Minoo
collection PubMed
description BACKGROUND: Reconstruction of protein-protein interaction networks (PPIN) has been riddled with controversy for decades. Particularly, false-negative and -positive interactions make this progress even more complicated. Also, lack of a standard PPIN limits us in the comparison studies and results in the incompatible outcomes. Using an evolution-based concept, i.e. interolog which refers to interacting orthologous protein sets, pave the way toward an optimal benchmark. RESULTS: Here, we provide an R package, IMMAN, as a tool for reconstructing Interolog Protein Network (IPN) by integrating several Protein-protein Interaction Networks (PPINs). Users can unify different PPINs to mine conserved common networks among species. IMMAN is designed to retrieve IPNs with different degrees of conservation to engage prediction analysis of protein functions according to their networks. CONCLUSIONS: IPN consists of evolutionarily conserved nodes and their related edges regarding low false positive rates, which can be considered as a gold standard network in the contexts of biological network analysis regarding to those PPINs which is derived from. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-2659-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-63730712019-02-25 IMMAN: an R/Bioconductor package for Interolog protein network reconstruction, mapping and mining analysis Ashtiani, Minoo Nickchi, Payman Jahangiri-Tazehkand, Soheil Safari, Abdollah Mirzaie, Mehdi Jafari, Mohieddin BMC Bioinformatics Software BACKGROUND: Reconstruction of protein-protein interaction networks (PPIN) has been riddled with controversy for decades. Particularly, false-negative and -positive interactions make this progress even more complicated. Also, lack of a standard PPIN limits us in the comparison studies and results in the incompatible outcomes. Using an evolution-based concept, i.e. interolog which refers to interacting orthologous protein sets, pave the way toward an optimal benchmark. RESULTS: Here, we provide an R package, IMMAN, as a tool for reconstructing Interolog Protein Network (IPN) by integrating several Protein-protein Interaction Networks (PPINs). Users can unify different PPINs to mine conserved common networks among species. IMMAN is designed to retrieve IPNs with different degrees of conservation to engage prediction analysis of protein functions according to their networks. CONCLUSIONS: IPN consists of evolutionarily conserved nodes and their related edges regarding low false positive rates, which can be considered as a gold standard network in the contexts of biological network analysis regarding to those PPINs which is derived from. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-2659-y) contains supplementary material, which is available to authorized users. BioMed Central 2019-02-12 /pmc/articles/PMC6373071/ /pubmed/30755155 http://dx.doi.org/10.1186/s12859-019-2659-y Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Ashtiani, Minoo
Nickchi, Payman
Jahangiri-Tazehkand, Soheil
Safari, Abdollah
Mirzaie, Mehdi
Jafari, Mohieddin
IMMAN: an R/Bioconductor package for Interolog protein network reconstruction, mapping and mining analysis
title IMMAN: an R/Bioconductor package for Interolog protein network reconstruction, mapping and mining analysis
title_full IMMAN: an R/Bioconductor package for Interolog protein network reconstruction, mapping and mining analysis
title_fullStr IMMAN: an R/Bioconductor package for Interolog protein network reconstruction, mapping and mining analysis
title_full_unstemmed IMMAN: an R/Bioconductor package for Interolog protein network reconstruction, mapping and mining analysis
title_short IMMAN: an R/Bioconductor package for Interolog protein network reconstruction, mapping and mining analysis
title_sort imman: an r/bioconductor package for interolog protein network reconstruction, mapping and mining analysis
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373071/
https://www.ncbi.nlm.nih.gov/pubmed/30755155
http://dx.doi.org/10.1186/s12859-019-2659-y
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