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  1. Article

    Open Access

    FAIR in action - a flexible framework to guide FAIRification

    The COVID-19 pandemic has highlighted the need for FAIR (Findable, Accessible, Interoperable, and Reusable) data more than any other scientific challenge to date. We developed a flexible, multi-level, domain-a...

    Danielle Welter, Nick Juty, Philippe Rocca-Serra, Fuqi Xu in Scientific Data (2023)

  2. Article

    Open Access

    The FAIR Cookbook - the essential resource for and by FAIR doers

    The notion that data should be Findable, Accessible, Interoperable and Reusable, according to the FAIR Principles, has become a global norm for good data stewardship and a prerequisite for reproducibility. Now...

    Philippe Rocca-Serra, Wei Gu, Vassilios Ioannidis, Tooba Abbassi-Daloii in Scientific Data (2023)

  3. Article

    Open Access

    Evaluating lubiprostone for effective bowel preparation before colonoscopy

    Colon preparation is a fundamental step for performing a successful colonoscopy. We aimed to evaluate the effectiveness of administering lubiprostone (LB) added to a single dose of oral polyethylene glycol (PE...

    Yasser Hamada, Ibrahim Emam, Rabab Maher, Hassan El-Garem in Egyptian Liver Journal (2021)

  4. Article

    Open Access

    PlatformTM, a standards-based data custodianship platform for translational medicine research

    Biomedical informatics has traditionally adopted a linear view of the informatics process (collect, store and analyse) in translational medicine (TM) studies; focusing primarily on the challenges in data integ...

    Ibrahim Emam, Vahid Elyasigomari, Alex Matthews, Stelios Pavlidis in Scientific Data (2019)

  5. Article

    Open Access

    High dimensional biological data retrieval optimization with NoSQL technology

    High-throughput transcriptomic data generated by microarray experiments is the most abundant and frequently stored kind of data currently used in translational medicine studies. Although microarray data is sup...

    Shicai Wang, Ioannis Pandis, Chao Wu, Si** He, David Johnson, Ibrahim Emam in BMC Genomics (2014)

  6. Article

    Open Access

    Optimising parallel R correlation matrix calculations on gene expression data using MapReduce

    High-throughput molecular profiling data has been used to improve clinical decision making by stratifying subjects based on their molecular profiles. Unsupervised clustering algorithms can be used for stratifi...

    Shicai Wang, Ioannis Pandis, David Johnson, Ibrahim Emam in BMC Bioinformatics (2014)

  7. No Access

    Chapter and Conference Paper

    DSIMBench: A Benchmark for Microarray Data Using R

    Parallel computing in R has been widely used to analyse microarray data. We have seen various applications using various data distribution and calculation approaches. Newer data storage systems, such as MySQL ...

    Shicai Wang, Ioannis Pandis, Ibrahim Emam in Big Data Benchmarks, Performance Optimizat… (2014)