Evidence map›Paper›PMID 26924983›Full record

ArticleFrontiers in pharmacology2015

The Human Toxome Collaboratorium: A Shared Environment for Multi-Omic Computational Collaboration within a Consortium.

Rick A Fasani, Carolina B Livi, Dipanwita R Choudhury, Andre Kleensang, Mounir Bouhifd, Salil N Pendse, Patrick D McMullen, Melvin E Andersen, Thomas Hartung, Michael Rosenberg

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Rick A FasaniAgilent Technologies Santa Clara, CA, USA.
Carolina B LiviAgilent Technologies Santa Clara, CA, USA.
Dipanwita R ChoudhuryAgilent Technologies Santa Clara, CA, USA.
Andre KleensangCenter for Alternatives to Animal Testing, Department of Environmental Health Sciences, Bloomberg School of Public Health, Johns Hopkins University Baltimore, MD, USA.
Mounir BouhifdCenter for Alternatives to Animal Testing, Department of Environmental Health Sciences, Bloomberg School of Public Health, Johns Hopkins University Baltimore, MD, USA.
Salil N PendseThe Hamner Institutes for Health Sciences, Research Triangle Park NC, USA.
Patrick D McMullenThe Hamner Institutes for Health Sciences, Research Triangle Park NC, USA.
Melvin E AndersenThe Hamner Institutes for Health Sciences, Research Triangle Park NC, USA.
Thomas HartungCenter for Alternatives to Animal Testing, Department of Environmental Health Sciences, Bloomberg School of Public Health, Johns Hopkins UniversityBaltimore, MD, USA; Center for Alternatives to Animal Testing Europe, University of KonstanzKonstanz, Germany.
Michael RosenbergAgilent Technologies Santa Clara, CA, USA.

Funding

Mapping the Human Toxome by Systems ToxicologyR01ES020750 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI HARTUNG, THOMAS · 2011 to 2015
$6.0M
NIEHS NIH HHS R01 ES020750
6 · The paper itself

Abstract

The Human Toxome Project is part of a long-term vision to modernize toxicity testing for the 21st century. In the initial phase of the project, a consortium of six academic, commercial, and government organizations has partnered to map pathways of toxicity, using endocrine disruption as a model hazard. Experimental data is generated at multiple sites, and analyzed using a range of computational tools. While effectively gathering, managing, and analyzing the data for high-content experiments is a challenge in its own right, doing so for a growing number of -omics technologies, with larger data sets, across multiple institutions complicates the process. Interestingly, one of the most difficult, ongoing challenges has been the computational collaboration between the geographically separate institutions. Existing solutions cannot handle the growing heterogeneous data, provide a computational environment for consistent analysis, accommodate different workflows, and adapt to the constantly evolving methods and goals of a research project. To meet the needs of the project, we have created and managed The Human Toxome Collaboratorium, a shared computational environment hosted on third-party cloud services. The Collaboratorium provides a familiar virtual desktop, with a mix of commercial, open-source, and custom-built applications. It shares some of the challenges of traditional information technology, but with unique and unexpected constraints that emerge from the cloud. Here we describe the problems we faced, the current architecture of the solution, an example of its use, the major lessons we learned, and the future potential of the concept. In particular, the Collaboratorium represents a novel distribution method that could increase the reproducibility and reusability of results from similar large, multi-omic studies.

Indexed as

big datacloud computingcomputational toxicologysystems toxicologyvirtualizationvirtual machines

Identifiers

PMID26924983
PMCPMC4756169

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.