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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Miguel QuimicaNova22 44-6.png|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig2 Berezin PLoSCompBio23 19-12.png|240px]]</div>
'''"[[Journal:ISO/IEC 17025: History and introduction of concepts|ISO/IEC 17025: History and introduction of concepts]]"'''
'''"[[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 />


[[Quality (business)|Quality]] is an increasingly present concept nowadays, and meeting the needs of customers who buy and use products and hire services becomes essential. For [[Laboratory|laboratories]], the concept is applied not only to the reliability and traceability of the results produced, but it also presents itself in meeting the customer’s needs and providing confidence when signing agreements in the international trade. The concept of quality in a laboratory can be carried out from the development and implementation of a [[quality management system]] (QMS). To this end, the normative, internationally accepted document [[ISO/IEC 17025]] aims at instructing the development and implementation of a management system, which ideally proves the technical capacity of testing and [[Reference laboratory|calibration laboratories]] and guides the generation of reliable results ... ('''[[Journal:ISO/IEC 17025: History and introduction of concepts|Full article...]]''')<br />
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Latest 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...)

Recently featured: