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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Tomlinson JofMolDiag2022 S1525-1578-22.jpg|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig2 Berezin PLoSCompBio23 19-12.png|240px]]</div>
'''"[[Journal:A model for design and implementation of a laboratory information management system specific to molecular pathology laboratory operations|A model for design and implementation of a laboratory information management system specific to molecular pathology laboratory operations]]"'''
'''"[[Journal:Ten simple rules for managing laboratory information|Ten simple rules for managing laboratory information]]"'''
 
[[Information]] is the cornerstone of [[research]], from experimental data/[[metadata]] and computational processes to complex inventories of reagents and equipment. These 10 simple rules discuss best practices for leveraging [[laboratory information management system]]s (LIMS) to transform this large information load into useful scientific findings. The development of [[mathematical model]]s that can predict the properties of biological systems is the holy grail of [[computational biology]]. Such models can be used to test biological hypotheses, guide the development of biomanufactured products, engineer new systems meeting user-defined specifications, and much more ... ('''[[Journal:Ten simple rules for managing laboratory information|Full article...]]''')<br />


The Molecular Pathology Section of Cleveland Clinic (Cleveland, OH) has undergone enhancement of its testing portfolio and processes. An electronic- and paper-based [[Information management|data management]] system was replaced with a commercially available [[laboratory information management system]] (LIMS) solution, a separate [[bioinformatics]] platform, customized test-interpretation applications, a dedicated [[Accessioning (medical)|accessioning]] service, and a results-releasing solution. The LIMS solution manages complex [[workflow]]s, large-scale data packets, and process automation. However, a customized approach was required for the LIMS since a survey of commercially available off-the-shelf (COTS) software solutions revealed none met the diverse and complex needs of Cleveland Clinic's [[molecular pathology]] service ... ('''[[Journal:A model for design and implementation of a laboratory information management system specific to molecular pathology laboratory operations|Full article...]]''')<br />
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Revision as of 18:03, 10 June 2024

Fig2 Berezin PLoSCompBio23 19-12.png

"Ten simple rules for managing laboratory information"

Information is the cornerstone of research, from experimental data/metadata and computational processes to complex inventories of reagents and equipment. These 10 simple rules discuss best practices for leveraging laboratory information management systems (LIMS) to transform this large information load into useful scientific findings. The development of mathematical models that can predict the properties of biological systems is the holy grail of computational biology. Such models can be used to test biological hypotheses, guide the development of biomanufactured products, engineer new systems meeting user-defined specifications, and much more ... (Full article...)

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