Editorial

Kv, Slavin

doi:10.1016/s0090-3019(97)00466-7

Cited by 4 publications

(1 citation statement)

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“…Our main goal for the next phase is to integrate data from the Visible Human Projects [31,32]. We expect the integration of human anatomy data and the related functional and structural data from molecular to organism levels will greatly facilitate the understanding of high throughput data and the development of novel hypotheses.…”

Section: Discussionmentioning

confidence: 99%

Cross-domain neurobiology data integration and exploration

et al. 2010

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BackgroundUnderstanding the biomedical implications of data from high throughput experiments requires solutions for effective cross-scale and cross-domain data exploration. However, existing solutions do not provide sufficient support for linking molecular level data to neuroanatomical structures, which is critical for understanding high level neurobiological functions.ResultsOur work integrates molecular level data with high level biological functions and we present results using anatomical structure as a scaffold. Our solution also allows the sharing of intermediate data exploration results with other web applications, greatly increasing the power of cross-domain data exploration and mining.ConclusionsThe Flex-based PubAnatomy web application we developed enables highly interactive visual exploration of literature and experimental data for understanding the relationships between molecular level changes, pathways, brain circuits and pathophysiological processes. The prototype of PubAnatomy is freely accessible at: [http://brainarray.mbni.med.umich.edu/Brainarray/prototype/PubAnatomy]

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Section: Discussionmentioning

confidence: 99%

Cross-domain neurobiology data integration and exploration

et al. 2010

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Introduction

Masutani¹,

Noriki²,

Shoji³

et al. 2017

Computational Anatomy Based on Whole Body Imaging

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Cross-Domain Neurobiology Data Integration and Exploration

Xuan

Dai

Buckner

et al. 2009

2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing

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Background: Understanding the biomedical implications of data from high throughput experiments requires solutions for effective cross-scale and cross-domain data exploration. However, existing solutions do not provide sufficient support for linking molecular level data to neuroanatomical structures, which is critical for understanding high level neurobiological functions. Results: Our work integrates molecular level data with high level biological functions and we present results using anatomical structure as a scaffold. Our solution also allows the sharing of intermediate data exploration results with other web applications, greatly increasing the power of cross-domain data exploration and mining. Conclusions: The Flex-based PubAnatomy web application we developed enables highly interactive visual exploration of literature and experimental data for understanding the relationships between molecular level changes, pathways, brain circuits and pathophysiological processes. The prototype of PubAnatomy is freely accessible at:[

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Editorial

Cited by 4 publications

References 0 publications

Cross-domain neurobiology data integration and exploration

Cross-domain neurobiology data integration and exploration

Introduction

Cross-Domain Neurobiology Data Integration and Exploration

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