2011
DOI: 10.1186/1471-2105-12-71
|View full text |Cite
|
Sign up to set email alerts
|

LabKey Server: An open source platform for scientific data integration, analysis and collaboration

Abstract: BackgroundBroad-based collaborations are becoming increasingly common among disease researchers. For example, the Global HIV Enterprise has united cross-disciplinary consortia to speed progress towards HIV vaccines through coordinated research across the boundaries of institutions, continents and specialties. New, end-to-end software tools for data and specimen management are necessary to achieve the ambitious goals of such alliances. These tools must enable researchers to organize and integrate heterogeneous … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
125
0
3

Year Published

2011
2011
2016
2016

Publication Types

Select...
7
1
1

Relationship

2
7

Authors

Journals

citations
Cited by 123 publications
(128 citation statements)
references
References 55 publications
0
125
0
3
Order By: Relevance
“…[12,13] This is especially the case as software tools for managing collaborative projects and analyzing poorly validated targets and confounding effects such as compound artifacts are nowadays available. [14] For academic drug discovery scientists, publicly available informatics resources such as ChEMBL and PubChem provide access to quality-controlled bioactivity data which help decision-making on, for instance, whether a particular compound series should be discarded due to potential promiscuous effects or prioritized because it has previously described selectivity for a target. [15] A future resource which is well aligned toward meeting the needs of academic drug discovery is the European infrastructure for Chemical Biology (EU-OPENSCREEN) which has been set up under the European Strategy Forum on Research Infrastructures (ESFRI).…”
Section: Mitigation Of Technical Risksmentioning
confidence: 99%
“…[12,13] This is especially the case as software tools for managing collaborative projects and analyzing poorly validated targets and confounding effects such as compound artifacts are nowadays available. [14] For academic drug discovery scientists, publicly available informatics resources such as ChEMBL and PubChem provide access to quality-controlled bioactivity data which help decision-making on, for instance, whether a particular compound series should be discarded due to potential promiscuous effects or prioritized because it has previously described selectivity for a target. [15] A future resource which is well aligned toward meeting the needs of academic drug discovery is the European infrastructure for Chemical Biology (EU-OPENSCREEN) which has been set up under the European Strategy Forum on Research Infrastructures (ESFRI).…”
Section: Mitigation Of Technical Risksmentioning
confidence: 99%
“…Figure.4 depicts the Excemplify interface for administrator users. Once a new Excel file is opened in the interface, it is parsed, converted into XML and represented in the markup container 10 as a web-based Excel style sheet instance. By clicking on cells of a certain column in the sheet, the user is able to mark them and create new concepts (unknown metaknowledge).…”
Section: Technology For Building the Excemplify Templatementioning
confidence: 99%
“…Projects such as LabKey Server 3 [10] and SEEK [11] all face the challenge of handling exper-imental data in spreadsheets. Among the tools that address the challenge, we consider RightField 4 and Google Refine 5 as the work that are closely linked to Excemplify.…”
Section: Related Workmentioning
confidence: 99%
“…The volume and the need to share existing data sources becomes increasingly important, like in enterprise information integration [11], company mergers and acquisitions [4], scientific collaborations in several fields [1,20,18], e-government initiatives [14,19,21], and in general the broader adoption of the Semantic Web. Interoperability at the level of conceptual models is a key in this goal, in order to maximize the extent to which data can be exchanged while preserving its original meaning.…”
Section: Introductionmentioning
confidence: 99%