Difference between revisions of "Book:LIMSjournal - Spring 2017"

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;1. Big data, informatics, and research
;1. Big data, informatics, and research
:[[Journal:Ten simple rules to enable multi-site collaborations through data sharing|Ten simple rules to enable multi-site collaborations through data sharing (Boland ''et al.'' 2017]]
:[[Journal:Ten simple rules to enable multi-site collaborations through data sharing|Ten simple rules to enable multi-site collaborations through data sharing (Boland ''et al.'' 2017)]]
:[[Journal:A metadata-driven approach to data repository design|A metadata-driven approach to data repository design (Harvey ''et al.'' 2017)]]
:[[Journal:A metadata-driven approach to data repository design|A metadata-driven approach to data repository design (Harvey ''et al.'' 2017)]]
:[[Journal:Data and metadata brokering – Theory and practice from the BCube Project|Data and metadata brokering – Theory and practice from the BCube Project (Khalsa 2017)]]
:[[Journal:Data and metadata brokering – Theory and practice from the BCube Project|Data and metadata brokering – Theory and practice from the BCube Project (Khalsa 2017)]]
:[[Journal:Ten simple rules for cultivating open science and collaborative R&D|Ten simple rules for cultivating open science and collaborative R&D (Masum ''et al.'' 2013)]]
:[[Journal:Ten simple rules for cultivating open science and collaborative R&D|Ten simple rules for cultivating open science and collaborative R&D (Masum ''et al.'' 2013)]]
;2. Bioinformatics
;2. Bioinformatics
:[[Journal:PCM-SABRE: A platform for benchmarking and comparing outcome prediction methods in precision cancer medicine|PCM-SABRE: A platform for benchmarking and comparing outcome prediction methods in precision cancer medicine (Eyal-Altman ''et al.'' 2017)]]
:[[Journal:PCM-SABRE: A platform for benchmarking and comparing outcome prediction methods in precision cancer medicine|PCM-SABRE: A platform for benchmarking and comparing outcome prediction methods in precision cancer medicine (Eyal-Altman ''et al.'' 2017)]]
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:[[Journal:DGW: An exploratory data analysis tool for clustering and visualisation of epigenomic marks|DGW: An exploratory data analysis tool for clustering and visualisation of epigenomic marks (Lukauskas ''et al.'' 2016)]]
:[[Journal:DGW: An exploratory data analysis tool for clustering and visualisation of epigenomic marks|DGW: An exploratory data analysis tool for clustering and visualisation of epigenomic marks (Lukauskas ''et al.'' 2016)]]
:[[Journal:Use of application containers and workflows for genomic data analysis|Use of application containers and workflows for genomic data analysis (Schulz ''et al.'' 2016)]]
:[[Journal:Use of application containers and workflows for genomic data analysis|Use of application containers and workflows for genomic data analysis (Schulz ''et al.'' 2016)]]
;3. Health, public health, and clinical informatics
;3. Health, public health, and clinical informatics
:[[Journal:Informatics metrics and measures for a smart public health systems approach: Information science perspective|Informatics metrics and measures for a smart public health systems approach: Information science perspective (Carney and Shea 2017)]]
:[[Journal:Informatics metrics and measures for a smart public health systems approach: Information science perspective|Informatics metrics and measures for a smart public health systems approach: Information science perspective (Carney and Shea 2017)]]

Latest revision as of 14:59, 7 December 2018

LIMSjournal - Spring 2017
Volume 3, Issue 1
Optometry clinic opens doors to active duty dependents and diabetics 151022-F-IC265-011.jpg
This is a LIMSwiki book, a collection of LIMSwiki articles that can be easily saved, rendered electronically, and ordered as a printed book.

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LIMSjournal - Spring 2017: Volume 3, Issue 1

This collection of 12 open-access journal articles loaded to LIMSwiki in January–March 2017 is compiled as a convenient, easy-to-access compilation. It is organized alphabetically by topic and then by author, with the author and publication year appearing at the end for your convenience.

1. Big data, informatics, and research
Ten simple rules to enable multi-site collaborations through data sharing (Boland et al. 2017)
A metadata-driven approach to data repository design (Harvey et al. 2017)
Data and metadata brokering – Theory and practice from the BCube Project (Khalsa 2017)
Ten simple rules for cultivating open science and collaborative R&D (Masum et al. 2013)
2. Bioinformatics
PCM-SABRE: A platform for benchmarking and comparing outcome prediction methods in precision cancer medicine (Eyal-Altman et al. 2017)
SCIFIO: An extensible framework to support scientific image formats (Hiner et al. 2017)
Ten simple rules for developing usable software in computational biology (List et al. 2017)
DGW: An exploratory data analysis tool for clustering and visualisation of epigenomic marks (Lukauskas et al. 2016)
Use of application containers and workflows for genomic data analysis (Schulz et al. 2016)
3. Health, public health, and clinical informatics
Informatics metrics and measures for a smart public health systems approach: Information science perspective (Carney and Shea 2017)
Deployment of analytics into the healthcare safety net: Lessons learned (Hartzband and Jacobs 2016)
The effect of the General Data Protection Regulation on medical research (Rumbold and Pierscionek 2017)