Difference between revisions of "Template:Article of the week"

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(Updated article of the week text.)
(Updated article of the week text.)
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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Sinard JPathologyInformatics2012 3.jpg|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig2 Wenig BMCBioinformatics2010 11.jpg|240px]]</div>
'''"[[Journal:Custom software development for use in a clinical laboratory|Custom software development for use in a clinical laboratory]]"'''
'''"[[Journal:OpenChrom: A cross-platform open source software for the mass spectrometric analysis of chromatographic data|OpenChrom: A cross-platform open source software for the mass spectrometric analysis of chromatographic data]]"'''


In-house software development for use in a [[clinical laboratory]] is a controversial issue. Many of the objections raised are based on outdated software development practices, an exaggeration of the risks involved, and an underestimation of the benefits that can be realized. Buy versus build analyses typically do not consider total costs of ownership, and unfortunately decisions are often made by people who are not directly affected by the workflow obstacles or benefits that result from those decisions. We have been developing custom software for clinical use for over a decade, and this article presents our perspective on this practice. A complete analysis of the decision to develop or purchase must ultimately examine how the end result will mesh with the departmental workflow, and custom-developed solutions typically can have the greater positive impact on efficiency and productivity, substantially altering the decision balance sheet. ('''[[Journal:Custom software development for use in a clinical laboratory|Full article...]]''')<br />
Today, data evaluation has become a bottleneck in [[Chromatography|chromatographic science]]. Analytical instruments equipped with automated samplers yield large amounts of measurement data, which needs to be verified and analyzed. Since nearly every [[Gas chromatography–mass spectrometry|GC/MS]] instrument vendor offers its own data format and software tools, the consequences are problems with data exchange and a lack of comparability between the analytical results. To challenge this situation a number of either commercial or non-profit software applications have been developed. These applications provide functionalities to import and analyze several data formats but have shortcomings in terms of the transparency of the implemented analytical algorithms and/or are restricted to a specific computer platform. ('''[[Journal:OpenChrom: A cross-platform open source software for the mass spectrometric analysis of chromatographic data|Full article...]]''')<br />
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''Recently featured'':  
''Recently featured'':  
: ▪ [[Journal:Custom software development for use in a clinical laboratory|Custom software development for use in a clinical laboratory]]
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Revision as of 16:39, 23 May 2016

Fig2 Wenig BMCBioinformatics2010 11.jpg

"OpenChrom: A cross-platform open source software for the mass spectrometric analysis of chromatographic data"

Today, data evaluation has become a bottleneck in chromatographic science. Analytical instruments equipped with automated samplers yield large amounts of measurement data, which needs to be verified and analyzed. Since nearly every GC/MS instrument vendor offers its own data format and software tools, the consequences are problems with data exchange and a lack of comparability between the analytical results. To challenge this situation a number of either commercial or non-profit software applications have been developed. These applications provide functionalities to import and analyze several data formats but have shortcomings in terms of the transparency of the implemented analytical algorithms and/or are restricted to a specific computer platform. (Full article...)

Recently featured:

▪ Custom software development for use in a clinical laboratory
▪ NG6: Integrated next generation sequencing storage and processing environment
▪ STATegra EMS: An experiment management system for complex next-generation omics experiments
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