Investigations
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The BENEFIT project is an interdisciplinary eHealth initiative to offer long-term lifestyle support for patients with cardiovascular disease (CVD). Data collected from BENEFIT patients is heterogeneous and encompasses demographics, observational lifestyle data, self-reported motivation for lifestyle change and physical measurements. Analysing these results can provide new insights into the effects of different intervention strategies used in the cardiac rehabilitation programme on maintaining a ...
This investigation serves as supplementary material for a SWAT4HCLS publication that describes minimum metadata and provenance requirements for reproducible enrichment analysis results.
Functional enrichment analysis is an essential downstream process in high throughput omics studies, such as transcriptomics and proteomics. By using the Gene Ontology (GO) and its annotations (GOA), underlying functional patterns of over-representation can be identified, leading to ...
Collection of experiments created by Flis Anna on the original BioDare and automatically transferred to FAIRDOM Hub.
Submitter: Daniel Thedie
Studies: Flis et al. (2015), Flis et al. (2016), Unpublished
Assays: Clock gene RNAs under RD-RR in clock mutants, expt 1, Clock gene RNAs under RD-RR in clock mutants, expt 2, Clock gene RNAs under RD-RR in clock mutants, expt 3, Clock gene RNAs under RD-RR in clock mutants, expt 4, Flis et al. TiMet clock gene comparison across photoperiods, McWatters A.t. Col-0 WT clock RNA timeseries, Q-PCR LD (12:12) 17C CAB2, Q-PCR LD (12:12) 17C CCA1, Q-PCR LD (12:12) 17C ELF3, Q-PCR LD (12:12) 17C ELF4, Q-PCR LD (12:12) 17C GI, Q-PCR LD (12:12) 17C LHY, Q-PCR LD (12:12) 17C LUX, Q-PCR LD (12:12) 17C PRR5, Q-PCR LD (12:12) 17C PRR7, Q-PCR LD (12:12) 17C PRR9, Q-PCR LD (12:12) 17C TOC1, TiMet WP1.1 WS seedling vs rosette, TiMet WP1.1 qRT-PCR LD to LL and LD, TiMet WP1.1 qRT-PCR elf3 LD
We further used the transcriptome dataset from the GEO database with accession number GSE147507 (Blanco-Melo et al., 2020) to extract the series number 5 from the dataset, consisting of 2 conditions in triplicate, A549 cells treated with a mock and A549 infected with SARS-CoV-2, measured 24 hours after treatment. Phosphoproteomic data of mock-treated and SARS-CoV2 infected cells were extracted from (Stukalov et al., 2020). We then applied our pipeline described in M&M X. This work notably ...
Submitter: Aurélien Dugourd
Studies: Footprint based analysis and causal network contextualisation in SARS-Co...
Assays: No Assays
Collection of cross-links to other sites that gather COVID-19 information
Submitter: Harald Kusch
Studies: University Medical Center Göttingen, ZB MED – Informationszentrum Lebenswissenschaften
Assays: COVI-19 Übersicht
