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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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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 |
_version_ | 1783394897085071360 |
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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. |
format | Online Article Text |
id | pubmed-6373071 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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