Enio Gjerga (@e_ni_o) 's Twitter Profile
Enio Gjerga

@e_ni_o

Computational and Systems Biology, Modelling of molecular networks, Omics data and yadda yadda..

ID: 443170458

calendar_today21-12-2011 22:08:00

61 Tweet

64 Takipçi

114 Takip Edilen

Saez-Rodriguez Group (@saezlab) 's Twitter Profile Photo

Happy to announce the release of Bioconductor pckgs dorothea (saezlab.github.io/dorothea) & CARNIVAL (saezlab.github.io/CARNIVAL/) + updated progeny (saezlab.github.io/progeny). This suite of packages enables mechanistic analysis of gene expression data.

Ricardo O. Ramirez Flores (@roramirezf94) 's Twitter Profile Photo

Today we will talk on how we increased the resolution of #spatialtranscriptomics by making use of paired snRNAseq+scATACseq datasets and our functional transcriptomics tools. SPOILER ALERT: sneak peek on current efforts to model spatial interactions (intercell communication)

Saez-Rodriguez Group (@saezlab) 's Twitter Profile Photo

Opportunity to attend AACR virtually for free, and among others the chance to hear Bence Szalai talk about the DREAMchallenges combo prediction challenge w. Michael Menden D Wang, J Guinney Sage Bionetworks Jonathan Dry + many others within the challenge community 10.1038/s41467-019-09799-2

bioRxiv SysBio (@biorxiv_sysbio) 's Twitter Profile Photo

ViralLink: An integrated workflow to investigate the effect of SARS-CoV-2 on intracellular signalling and regulatory pathways biorxiv.org/cgi/content/sh… #biorxiv_sysbio

Saez-Rodriguez Group (@saezlab) 's Twitter Profile Photo

.Julio Saez-Rodriguez presents on Friday 'Extracting mechanistic insight from single-cell and spatial transcriptomics' #scRNA #visium and more, our tools DoRothEA,PROGENy, MISTy, CARNIVAL OmniPath saezlab.org/?#tools & applications to #heart & #kidney disease w. Rafael Kramann, MD PhD 👇

Saez-Rodriguez Group (@saezlab) 's Twitter Profile Photo

RNAseq data are widely used to extract knowledge from biology. You can extract intuitive mechanistic insights from it with our step by step guided transcriptutorial in R: github.com/saezlab/transc… 1/5

RNAseq data are widely used to extract knowledge from biology. You can extract intuitive mechanistic insights from it with our step by step guided transcriptutorial in R: github.com/saezlab/transc… 1/5
Saez-Rodriguez Group (@saezlab) 's Twitter Profile Photo

We are very happy to be part of PerMedCoE - coordinated by BSC-CNS AlfonsoValencia alfonsovalencia.bsky.social ; kick off today - we will work to facilitate the use of cell-level modeling (including our tools CellNOpt, CARNIVAL, etc. saezlab.org/?#tools) to analyze genomic data

Saez-Rodriguez Group (@saezlab) 's Twitter Profile Photo

f you are interested in (tissue) proteomics in the kidney, check this review of Markus Rinschen with our Julio Saez-Rodriguez (most holds for other organs too) nature.com/articles/s4158…

Dezső Módos (@mdeske) 's Twitter Profile Photo

Today I have presented OmniPath at the #DiseaseMap Community Meeting. You can check the poster and video here disease-maps.org/DMCM2020posters OmniPath can help to build disease maps as the backbone. Feel free to contact for feedback to me or denes turei Julio Saez-Rodriguez KorcsmarosLab.

Saez-Rodriguez Group (@saezlab) 's Twitter Profile Photo

We are happy that our method COSMOS to infer causal links from multi-omics data and prior knowledge, as captured in the cover of Mol Syst Biol, is published embopress.org/doi/full/10.15…. See saezlab.github.io/COSMOS/ #bioinformatics #Kidneydisease #Cancer

We are happy that our method COSMOS to infer causal links from multi-omics data and prior knowledge, as captured in the cover of <a href="/MolSystBiol/">Mol Syst Biol</a>, is published 
embopress.org/doi/full/10.15…. See saezlab.github.io/COSMOS/ #bioinformatics #Kidneydisease #Cancer
Saez-Rodriguez Group (@saezlab) 's Twitter Profile Photo

See our latest work introducing PHONEMeS-ILP, a new implementation of our method to reconstruct logic models of signaling networks from mass spectrometry phosphoproteomic data to build logical network models of signal perturbation flow lead by Enio Gjerga pubs.acs.org/doi/10.1021/ac…

Journal of Proteome Research (@jproteomeres) 's Twitter Profile Photo

The 2nd edition of our biennial "Software Tools and Resources" Special Issue is now published! pubs.acs.org/toc/jprobs/20/4 This issue provides an important overview of current efforts and immediate challenges in computational proteomics and metabolomics. Congrats to all authors!

The 2nd edition of our biennial "Software Tools and Resources" Special Issue is now published! 

pubs.acs.org/toc/jprobs/20/4

This issue provides an important overview of current efforts and immediate challenges in computational proteomics and metabolomics. 

Congrats to all authors!
Thiago Britto-Borges (@tbrittoborges) 's Twitter Profile Photo

The publication for our new database TACOMA, led by Enio Gjerga, is now available. TACOMA contains multi-OMICs data from a time series experiment transverse aortic constriction (TAC) experiment, which induces pressure overload-induced cardiac hypertrophy in mice.