Proteomics and transcriptomics data tables, sample IDs and description, source code
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Created: 15th Apr 2019 at 06:06
Last updated: 17th Apr 2019 at 15:49
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Projects: SysMetEx, Kinetics on the move - Workshop 2016
Institutions: Università della Svizzera Italiana
Expertise: ODE modelling of biological interaction network, Bioinformatics
Tools: Python, c++, Java, bash, standard bioinformatic tools
Projects: SysMetEx
Institutions: University of Luxembourg
The main objective of the ERANET proposal Systems Biology Applications - ERASysAPP (app = application = translational systems biology) is to promote multidimensional and complementary European systems biology projects, programmes and research initiatives on a number of selected research topics. Inter alia, ERASysAPP will initiate, execute and monitor a number of joint transnational calls on systems biology research projects with a particular focus on applications - or in other words so called ...
Projects: SysVirDrug, SysMilk, SysMetEx, MetApp, IMOMESIC, WineSys, CropClock, SYSTERACT, XyloCut, RootBook, ROBUSTYEAST, LEANPROT, ErasysApp Funders
Web page: https://www.cobiotech.eu/about-cobiotech/erasysapp
Biomining is a biotechnological process carried out in many parts of the world that exploits acid loving microorganisms to extract metals from sulphide minerals. One industrial biomining method is called ‘heap bioleaching’ where typically copper containing minerals are piled into very large heaps, acid and microorganisms are added to the top and the soluble metal is collected at the heap base.
The role of the different types of microbes in the process is to speed up metal solubilisation by oxidising ...
Programme: ERASysAPP
Public web page: http://sysmetex.eu/index.html
Supplementary files for the submission: Reverse Engineering Directed Gene Regulatory Networks from Transcriptomics and Proteomics Data of Biomining Bacterial Communities with Approximate Bayesian Computation and Steady-State Signalling Simulations
Submitter: Malte Herold
Studies: Supplementary files
Assays: Proteome data, RNA data, Simulations for network engineering
Snapshots: Snapshot 1
Data derived from RNAseq
Submitter: Malte Herold
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Reverse Engineering Directed Gene Regulatory Ne...
Study: Supplementary files
Organisms: No organisms
SOPs: No SOPs
Data files: Sample information, TPM counts
Snapshots: No snapshots
Data derived from protein samples
Submitter: Malte Herold
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Reverse Engineering Directed Gene Regulatory Ne...
Study: Supplementary files
Organisms: No organisms
SOPs: No SOPs
Data files: LFQ intensities, Sample information
Snapshots: No snapshots
Scripts for running network simulations
Submitter: Malte Herold
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Reverse Engineering Directed Gene Regulatory Ne...
Study: Supplementary files
TPM counts for protein coding genes, alongside functional annotations
Creator: Malte Herold
Submitter: Malte Herold
Investigations: Reverse Engineering Directed Gene Regulatory Ne...
Studies: Supplementary files
Assays: RNA data
LFQ intensities derived from proteomics measurements
Creator: Malte Herold
Submitter: Malte Herold
Investigations: Reverse Engineering Directed Gene Regulatory Ne...
Studies: Supplementary files
Assays: Proteome data
Source code for running simulations
Creator: Malte Herold
Submitter: Malte Herold
Investigations: Reverse Engineering Directed Gene Regulatory Ne...
Studies: Supplementary files
Information for RNA and protein samples and cultures they were derived from.
Creator: Malte Herold
Submitter: Malte Herold
Investigations: Reverse Engineering Directed Gene Regulatory Ne...
Studies: Supplementary files
Assays: Proteome data, RNA data