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Logical modelling pipeline of computational methods for logical modelling of biological networks

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 22 Nov 2017 English Publisher:ZenodoFunded by:EC | ERACoSysMed
Authors: Montagud, Arnau; Traynard, Pauline; Martignetti, Loredana; Bonnet, Eric; Barillot, Emmanuel; Zinovyev, Andrei; Calzone, Laurence;
Code repository: https://github.com/ArnauMontagud/Logical_modelling_pipeline/tree/v1.0

doi: 10.5281/zenodo.1064756 , 10.5281/zenodo.1064755

Logical modelling pipeline of computational methods for logical modelling of biological networks

Abstract

This work has received support under the program «Investissements d'Avenir» launched by the French Government and implemented by ANR with project ABS4NGS (grant number ANR-11-BINF-0001). This work has also been partially funded by INVADE grant from ITMO Cancer (Call Systems Biology 2012). This work has also received funding from ANR-FNR project 'AlgoReCell' (grant number ANR-16-CE12-0034). Finally, this work has also been partially funded by the ERACoSysMed research programme, which is a transnational R&D programme jointly funded by national funding organizations within the framework of the ERA-NET ERACoSysMed.

Logical modelling pipeline status upon acceptance of paper in Brienfings in Bioinformatics

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Keywords

logical modelling, pipeline of tools, genetic interaction, robustness analysis, data integration, step-by-step tutorial

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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).
BIP!Citations provided by BIP!
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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