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  • Remove 1. Bioinformatics
  • Remove Show 4273π: Bioinformatics education on low cost ARM hardware (Barker ''et al.'' 2013)
  • Remove Show adLIMS: A customized open source software that allows bridging clinical and basic molecular research studies (Calabria ''et al.'' 2015)
  • Remove Show iLAP: A workflow-driven software for experimental protocol development, data acquisition and analysis (Stocker ''et al.'' 2009)
  • Remove Show Launching genomics into the cloud: Deployment of Mercury, a next generation sequence analysis pipeline (Reid ''et al.'' 2014)
  • Remove Show MendeLIMS: A web-based laboratory information management system for clinical genome sequencing (Grimes ''et al.'' 2014)
  • Remove Show Personalized Oncology Suite: Integrating next-generation sequencing data and whole-slide bioimages (Dander ''et al.'' 2014)
  • Remove Show Requirements for data integration platforms in biomedical research networks: A reference model (Ganzinger ''et al.'' 2015)
  • Remove Show SaDA: From sampling to data analysis—An extensible open source infrastructure for rapid, robust and automated management and analysis of modern ecological high-throughput microarray data (Singh ''et al.'' 2015)
  • Remove Show SeqWare Query Engine: Storing and searching sequence data in the cloud (O’Connor ''et al.'' 2010)
  • Remove Show University-level practical activities in bioinformatics benefit voluntary groups of pupils in the last 2 years of school (Barker ''et al.'' 2015)
  • Remove 2. Health informatics
  • Remove Show Analyzing huge pathology images with open source software (Deroulers ''et al.'' 2013)
  • Remove Show Basics of case report form designing in clinical research (Bellary ''et al.'' 2014)
  • Remove Show Beyond information retrieval and electronic health record use: Competencies in clinical informatics for medical education (Hersh ''et al.'' 2014)
  • Remove Show Factors associated with adoption of health information technology: A conceptual model based on a systematic review (Kruse ''et al.'' 2014)
  • Remove Show Incorporating domain knowledge in chemical and biomedical named entity recognition with word representations (Munkhdalai ''et al.'' 2015)
  • Remove Show Making big data useful for health care: A summary of the inaugural MIT Critical Data Conference (Badawi ''et al.'' 2014)
  • Remove Show Medical informatics specialty in the developed English-speaking countries: The terminology comparative analysis (Kobryn 2015)
  • Remove Show Return on investment in electronic health records in primary care practices: A mixed-methods study (Jang ''et al.'' 2014)
  • Remove Show Support patient search on pathology reports with interactive online learning based data extraction (Zheng ''et al.'' 2015)
  • Remove Show The evolution, use, and effects of integrated personal health records: A narrative review (Zieth ''et al.'' 2014)
  • Remove Show Undertaking sociotechnical evaluations of health information technologies (Cresswell ''et al.'' 2014)
  • Remove Show Unravelling the tangled taxonomies of health informatics (Barrett ''et al.'' 2014)
  • Remove Show Use of handheld computers in clinical practice: A systematic review (Mickan ''et al.'' 2014)
  • Remove Show Why health services research needs geoinformatics: Rationale and case example (Onega ''et al.'' 2014)
  • Remove 3. Miscellaneous
  • Remove Show Benefits of the community for partners of open source vendors (Groganz 2011)
  • Remove Show Generalized procedure for screening free software and open-source software applications (Joyce 2015)
  • Remove Show Human–information interaction with complex information for decision-making (Albers 2015)
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