Implementing LIMS in NGS: Investing in a Vision
Understanding the role DNA plays in living creatures was the trigger for incredible scientific development that furthered analysis and interaction with life’s blueprint to help improve the human condition. Decoding the genomic sequence of single individuals allows detection of personal disease risk factors and the development of personalized treatment [1]. High throughput sequencing techniques are increasingly in demand and Next Generation Sequencing (NGS)is the latest achievement in this field [2].
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Laboratory Informatics Weekly Update – Volume 16, Issue 29
July 18, 2018 Laboratory Informatics Weekly Update Volume 16, Issue 29 In This Issue Upcoming Webinars 07/24/2018 - California-FDA Cannabis Laboratory Method Validation Requirements for Growers, Processors, and Dispensaries07/31/2018 - Join LABTrack for a Free On-Line Webinar: KPI for Contract Labs Journal Articles The development of data science: Implications for education, employment, research, and the data revolution for sustainable developmentIn this 2018 paper by Murtagh and Devlin, a historical and professional perspective on data science and how collaborative work across multiple disciplines is increasingly common to data science. This "convergence and bridging of disciplines" strengthens methodology transfer and collaborative…The development of data science: Implications for education, employment, research, and the data revolution for sustainable development
In this 2018 paper by Murtagh and Devlin, a historical and professional perspective on data science and how collaborative work across multiple disciplines is increasingly common to data science. This "convergence and bridging of disciplines" strengthens methodology transfer and collaborative effort, and the integration of data and analytics guides approaches to data management. But education, research, and application challenges still await data scientists. The takeaway for the authors is that "the importance is noted of how data science builds collaboratively on other domains, potentially with innovative methodologies and practice,"
GeoFIS: An open-source decision support tool for precision agriculture data
Scientists everywhere nod to the power of big data but are still left to develop tools to manage it. This is just as true in the field of agriculture, where practitioners of precision agriculture are still developing tools to do their work better. Leroux et al. have been developing their own solution, GeoFIS, to better handle geolocalized data visualization and analysis. In this 2018 paper, they use three case studies to show off how GeoFIS visualizes data, processes it, and incorporates associated data (metadata and industry knowledge) for improved agricultural outcomes. They conclude that the software fills a significant gap while also promoting the adoption of precision agriculture practices.
Laboratory Informatics Weekly Update – Volume 16, Issue 28
July 11, 2018 Laboratory Informatics Weekly Update Volume 16, Issue 28 In This Issue Journal Articles Technology transfer and true transformation: Implications for open dataIn this 2017 paper published in the Data Science Journal, University of Oxford's Louise Bezuidenhout makes a case for how local challenges with laboratory equipment, research speeds, and design principles hinder adoption of open data policies in resource-strapped countries. Noting that "openness of data online is a global priority" in research, Bezuidenhout uses interviews in various African countries and corresponding research to draw conclusions that many in high-income countries may not. The main conclusion: "Without…Technology transfer and true transformation: Implications for open data
In this 2017 paper published in the Data Science Journal, University of Oxford's Louise Bezuidenhout makes a case for how local challenges with laboratory equipment, research speeds, and design principles hinder adoption of open data policies in resource-strapped countries. Noting that "openness of data online is a global priority" in research, Bezuidenhout uses interviews in various African countries and corresponding research to draw conclusions that many in high-income countries may not. The main conclusion: "Without careful and sensitive attention to [the issues stated in the paper], it is likely that [low- and middle-income country] scholars will continue to exclude themselves from opportunities to share data, thus missing out on improved visibility online."
CloudLIMS Version 1.73 Released!
CloudLIMS, an advanced cloud-based SaaS LIMS, accelerates biobanking, clinical research, and testing laboratory operations by efficiently managing laboratory data on a cloud platform, enabling laboratories and their clients to access data in real-time, saving resources and reducing turnaround times. CloudLIMS version 1.73 is packed with new features and enhancements to prep testing and clinical laboratories to meet their data managing requirements.Integrating Multiple LIMS into a Single System
In today’s global economy, mergers and acquisitions have become a dominant strategy to improve profitability, maintain competitive edge, and expand services and reach. This practice is common in several industries such as pharmaceutical, biotech, food and beverage, oil and gas, and others. While corporate mergers certainly can provide several benefits for the organizations involved, they can also present significant challenges, not the least of which is harmonization and optimization of the laboratory environment. This often leads to the need to the need for integrating multiple LIMS apps to support a global enterprise.
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Laboratory Informatics Weekly Update – Volume 16, Issue 26
June 27, 2018 Laboratory Informatics Weekly Update Volume 16, Issue 26 In This Issue Upcoming Webinars 07/03/2018 - Learn how to improve Compliance, Productivity and Collaboration by attending a Free LABTrack Project Management Dashboard on-line webinar07/05/2018 - Learn how to improve Compliance, Productivity and Collaboration by attending a Free LABTrack Project Management Dashboard on-line webinar Journal Articles Eleven quick tips for architecting biomedical informatics workflows with cloud computingIn this educational journal article published in PLoS Computational Biology, Cole and Moore of the University of Pennsylvania's Institute for Biomedical Informatics offer 11 tips for health informatics researchers and practitioners to…Eleven quick tips for architecting biomedical informatics workflows with cloud computing
In this educational journal article published in PLoS Computational Biology, Cole and Moore of the University of Pennsylvania's Institute for Biomedical Informatics offer 11 tips for health informatics researchers and practitioners to embrace in improving reproducibility, knowledge sharing, and costs: adopt cloud computing. The authors compare more traditional "in-house enterprise compute systems such as high-performance computing (HPC) clusters" located in academic institutions with more agile cloud computing installations, showing various ways researchers can benefit from building biomedical informatics workflows on the cloud. After sharing their tips, they conclude that "[c]loud computing offers the potential to completely transform biomedical computing by fundamentally shifting computing from local hardware and software to on-demand use of virtualized infrastructure in an environment which is accessible to all other researchers."LIMS Data Migration
When implementing a new LIMS, the question is not usually whether to migrate legacy system data, but how much data, in what manner, and why?
