Difference between revisions of "Main Page/Featured article of the week/2017"

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<h2 style="font-size:105%; font-weight:bold; text-align:left; color:#000; padding:0.2em 0.4em; width:50%;">Featured article of the week: January 16–22:</h2>
<h2 style="font-size:105%; font-weight:bold; text-align:left; color:#000; padding:0.2em 0.4em; width:50%;">Featured article of the week: January 23–29:</h2>
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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig5 Ye JofPathInformatics2016 7.jpg|240px]]</div>
'''"[[Journal:Pathology report data extraction from relational database using R, with extraction from reports on melanoma of skin as an example|Pathology report data extraction from relational database using R, with extraction from reports on melanoma of skin as an example]]"'''
 
The olog approach of Spivak and Kent is applied to the practical development of data transfer frameworks, yielding simple rules for construction and assessment of data transfer standards. The simplicity, extensibility and modularity of such descriptions allows discipline experts unfamiliar with complex ontological constructs or toolsets to synthesize multiple pre-existing standards, potentially including a variety of file formats, into a single overarching ontology. These ontologies nevertheless capture all scientifically-relevant prior knowledge, and when expressed in machine-readable form are sufficiently expressive to mediate translation between legacy and modern data formats. A format-independent programming interface informed by this ontology consists of six functions, of which only two handle data. Demonstration software implementing this interface is used to translate between two common diffraction image formats using such an ontology in place of an intermediate format. ('''[[Journal:Pathology report data extraction from relational database using R, with extraction from reports on melanoma of skin as an example|Full article...]]''')<br />
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|<br /><h2 style="font-size:105%; font-weight:bold; text-align:left; color:#000; padding:0.2em 0.4em; width:50%;">Featured article of the week: January 16–22:</h2>
<div style="padding:0.4em 1em 0.3em 1em;">
<div style="padding:0.4em 1em 0.3em 1em;">
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Hester DataSciJourn2016 15.png|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Hester DataSciJourn2016 15.png|240px]]</div>

Revision as of 17:24, 30 January 2017

Featured article of the week archive - 2017

Welcome to the LIMSwiki 2017 archive for the Featured Article of the Week.

Featured article of the week: January 23–29:

Fig5 Ye JofPathInformatics2016 7.jpg

"Pathology report data extraction from relational database using R, with extraction from reports on melanoma of skin as an example"

The olog approach of Spivak and Kent is applied to the practical development of data transfer frameworks, yielding simple rules for construction and assessment of data transfer standards. The simplicity, extensibility and modularity of such descriptions allows discipline experts unfamiliar with complex ontological constructs or toolsets to synthesize multiple pre-existing standards, potentially including a variety of file formats, into a single overarching ontology. These ontologies nevertheless capture all scientifically-relevant prior knowledge, and when expressed in machine-readable form are sufficiently expressive to mediate translation between legacy and modern data formats. A format-independent programming interface informed by this ontology consists of six functions, of which only two handle data. Demonstration software implementing this interface is used to translate between two common diffraction image formats using such an ontology in place of an intermediate format. (Full article...)


Featured article of the week: January 16–22:

Fig1 Hester DataSciJourn2016 15.png

"A robust, format-agnostic scientific data transfer framework"

The olog approach of Spivak and Kent is applied to the practical development of data transfer frameworks, yielding simple rules for construction and assessment of data transfer standards. The simplicity, extensibility and modularity of such descriptions allows discipline experts unfamiliar with complex ontological constructs or toolsets to synthesize multiple pre-existing standards, potentially including a variety of file formats, into a single overarching ontology. These ontologies nevertheless capture all scientifically-relevant prior knowledge, and when expressed in machine-readable form are sufficiently expressive to mediate translation between legacy and modern data formats. A format-independent programming interface informed by this ontology consists of six functions, of which only two handle data. Demonstration software implementing this interface is used to translate between two common diffraction image formats using such an ontology in place of an intermediate format. (Full article...)


Featured article of the week: January 9–15:

Tab3 Brandão Information2016 7-4.png

"A benchmarking analysis of open-source business intelligence tools in healthcare environments"

In recent years, a wide range of business intelligence (BI) technologies have been applied to different areas in order to support the decision-making process. BI enables the extraction of knowledge from the data stored. The healthcare industry is no exception, and so BI applications have been under investigation across multiple units of different institutions. Thus, in this article, we intend to analyze some open-source/free BI tools on the market and their applicability in the clinical sphere, taking into consideration the general characteristics of the clinical environment. For this purpose, six BI tools were selected, analyzed, and tested in a practical environment. Then, a comparison metric and a ranking were defined for the tested applications in order to choose the one that best applies to the extraction of useful knowledge and clinical data in a healthcare environment. Finally, a pervasive BI platform was developed using a real case in order to prove the tool's viability. (Full article...)


Featured article of the week: January 2–8:

Fig1 Barillari Bioinformatics2015 32-4.jpg

"openBIS ELN-LIMS: An open-source database for academic laboratories"

The open-source platform openBIS (open Biology Information System) offers an electronic laboratory notebook and a laboratory information management system (ELN-LIMS) solution suitable for the academic life science laboratories. openBIS ELN-LIMS allows researchers to efficiently document their work, to describe materials and methods and to collect raw and analyzed data. The system comes with a user-friendly web interface where data can be added, edited, browsed and searched. The openBIS software, a user guide and a demo instance are available at https://openbis-eln-lims.ethz.ch. The demo instance contains some data from our laboratory as an example to demonstrate the possibilities of the ELN-LIMS. (Full article...)