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Software . 2021
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The ProMetIS R package: Multi-omics phenotyping of the LAT and MX2 knockout mice

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 29 Oct 2021Publisher:Zenodo
Authors: Imbert, Alyssa; Thévenot, Etienne;

doi: 10.5281/zenodo.5615546 , 10.5281/zenodo.5615545

The ProMetIS R package: Multi-omics phenotyping of the LAT and MX2 knockout mice

Abstract

Companion R package containing the data and source code described in the following publication: ProMetIS: deep phenotyping of mouse models by combined proteomics and metabolomics analysis. Alyssa Imbert, Magali Rompais, Mohammed Selloum, Florence Castelli, Emmanuelle Mouton-Barbosa, Marion Brandolini-Bunlon, Emeline Chu-Van, Charlotte Joly, Aurélie Hirschler, Pierrick Roger, Thomas Burger, Sophie Leblanc, Tania Sorg, Sadia Ouzia, Yves Vandenbrouck, Claudine Médigue, Christophe Junot, Myriam Ferro, Estelle Pujos-Guillot, Anne Gonzalez de Peredo, François Fenaille, Christine Carapito, Yann Herault, and Etienne A. Thévenot (ProMetIS consortium), Scientific Data, https://github.com/IFB-ElixirFr/ProMetIS.

{"references": ["Alyssa Imbert, Magali Rompais, Mohammed Selloum, Florence Castelli, Emmanuelle Mouton-Barbosa, Marion Brandolini-Bunlon, Emeline Chu-Van, Charlotte Joly, Aur\u00e9lie Hirschler, Pierrick Roger, Thomas Burger, Sophie Leblanc, Tania Sorg, Sadia Ouzia, Yves Vandenbrouck, Claudine M\u00e9digue, Christophe Junot, Myriam Ferro, Estelle Pujos-Guillot, Anne Gonzalez de Peredo, Fran\u00e7ois Fenaille, Christine Carapito, Yann Herault, and Etienne A. Th\u00e9venot (2021). ProMetIS: deep phenotyping of mouse models by combined proteomics and metabolomics analysis.\u00a0Scientific Data."]}

This work was funded by the four French Infrastructures for Mouse PhenoGenomics (Phenomin-ICS, ANR-10-INBS-0007), Proteomics (ProFI, ANR-10-INBS-0008), Metabolomics (MetaboHUB, ANR-11-INBS-0010), and Bioinformatics (IFB, ANR-11-INBS-0013).

Keywords

proteomics, metabolomics, integration, bioinformatics, biostatistics

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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