about
SBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formalisms and toolsCellNOptR: a flexible toolkit to train protein signaling networks to data using multiple logic formalisms.DvD: An R/Cytoscape pipeline for drug repurposing using public repositories of gene expression data.Benchmarking substrate-based kinase activity inference using phosphoproteomic data.CySBGN: a Cytoscape plug-in to integrate SBGN maps.Systematic Analysis of Transcriptional and Post-transcriptional Regulation of Metabolism in YeastA landscape of pharmacogenomic interactions in cancer.Fumarate is an epigenetic modifier that elicits epithelial-to-mesenchymal transitionBridging the layers: towards integration of signal transduction, regulation and metabolism into mathematical models.Cyrface: An interface from Cytoscape to R that provides a user interface to R packages.Genomic Determinants of Protein Abundance Variation in Colorectal Cancer Cells.System-Wide Quantitative Proteomics of the Metabolic Syndrome in Mice: Genotypic and Dietary Effects.Widespread Post-transcriptional Attenuation of Genomic Copy-Number Variation in Cancer.Post-translational regulation of metabolism in fumarate hydratase deficient cancer cells.A model integration approach linking signalling and gene-regulatory logic with kinetic metabolic models.Optimization approaches for the in silico discovery of optimal targets for gene over/underexpression.Computational Tools for Strain Optimization by Tuning the Optimal Level of Gene ExpressionUnsupervised correction of gene-independent cell responses to CRISPR-Cas9 targetingA Software Platform for Evolutionary Computation with Pluggable Parallelism and Quality AssuranceStructural rearrangements generate cell-specific, gene-independent CRISPR-Cas9 loss of fitness effectsFunctional linkage of gene fusions to cancer cell fitness assessed by pharmacological and CRISPR-Cas9 screeningAgreement between two large pan-cancer CRISPR-Cas9 gene dependency data setsPrioritization of cancer therapeutic targets using CRISPR-Cas9 screensMulti-omics Characterization of Interaction-mediated Control of Human Protein Abundance levels
P50
Q27499050-C1711032-1366-48D0-A145-03F5A480DB70Q30573980-2F026266-9108-4568-BBFD-6412B5AC59C1Q30576319-C123156D-38B0-4C3A-930F-4DCA87C6D694Q31162178-590DC5EF-58F3-4B06-989A-5538200775CFQ34549678-32964A0D-6B75-468D-B5BF-FF4075206182Q36245407-A6604F58-2E54-45DC-AA89-5F128F8EEF8CQ37140236-65454C9B-3800-4F5E-AEBD-B525DCE6EDE1Q37470652-6F7A6C34-0CE4-43E2-AC58-CAF81C072783Q38092646-27678436-E509-41E9-A17B-1590889C29BDQ38390303-4240E1E8-F653-4CC3-8E5C-AD7586DC9DA3Q38602104-ACBB98C1-7311-45CD-A25F-FA8259AA30D0Q39114389-104E9780-C7D6-4FDB-A0EE-CDBD742D06F9Q44689460-D7B234B4-0EC4-49B2-9F87-2AA65DB28DC9Q47297684-7A3006B9-4BBE-4D6C-B73D-7CFA6724A3B9Q51064227-2CF0D519-0C4E-4EFD-AD02-8C0A80E37FC1Q51432218-04CAB264-02D7-44CD-9E96-401350EE06E9Q56913682-66696278-2082-4FBC-92FC-0BCF05CCFC1DQ56985300-17B82400-5B71-4497-81E9-FE06B52D7CE2Q57714412-59260E89-3B22-4267-A43E-725FF1C64E30Q61799297-4B70A5FA-122F-4E42-9CF0-15D3A9C03F74Q64053751-6A09EE53-04C3-44C5-8B4B-C4F5B8CE1BD0Q92163342-827C7D0C-D72B-4EB9-8C1E-15E26DCB8F37Q93012784-C061D218-AA8C-4555-A701-75AE3E197686Q93022977-20B7E35C-5D84-4625-855D-816A91B3CA99
P50
description
hulumtues
@sq
researcher
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wetenschapper
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հետազոտող
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name
Emanuel Gonçalves
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Emanuel Gonçalves
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Emanuel Gonçalves
@es
Emanuel Gonçalves
@nl
Emanuel Gonçalves
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type
label
Emanuel Gonçalves
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Emanuel Gonçalves
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Emanuel Gonçalves
@es
Emanuel Gonçalves
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Emanuel Gonçalves
@sl
altLabel
Goncalves
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prefLabel
Emanuel Gonçalves
@ast
Emanuel Gonçalves
@en
Emanuel Gonçalves
@es
Emanuel Gonçalves
@nl
Emanuel Gonçalves
@sl
P108
P106
P1153
54963605100
55389922800
P21
P2456
P31
P496
0000-0002-9967-5205