Evidence map›Paper›PMID 26130662›Full record

ArticleDatabase : the journal of biological databases and curation2015

toxoMine: an integrated omics data warehouse for Toxoplasma gondii systems biology research.

David B Rhee, Matthew McKnight Croken, Kevin R Shieh, Julie Sullivan, Gos Micklem, Kami Kim, Aaron Golden

Abstract readDataset
In one paragraph

Article in Database : the journal of biological databases and curation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. BioMed research international · 2021
    Article
  3. Article
  4. Article
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

7 authors.

David B RheeDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA, david.rhee@einstein.yu.edu.
Matthew McKnight CrokenDepartment of Microbiology & Immunology, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Kevin R ShiehDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Julie SullivanDepartment of Genetics, University of Cambridge, Cambridge CB2 3EH, UK and.
Gos MicklemDepartment of Genetics, University of Cambridge, Cambridge CB2 3EH, UK and.
Kami KimDepartment of Medicine, Department of Pathology, Department of Microbiology & Immunology, Albert Einstein College of Medicine, Bronx, NY 10461, USA, aaron.golden@einstein.yu.edu kami.kim@einstein.yu.edu.
Aaron GoldenDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA, Department of Mathematical Sciences, Yeshiva University, New York, NY 10033, USA david.rhee@einstein.yu.edu.

Funding

TRAINING PROGRAM IN CELLULAR &MOLEC. BIOLOGY &GENETICST32GM007491 · NIGMS · YESHIVA UNIVERSITY · PI QUERY, CHARLES C · 1985 to 2021
$17.0M
A Systems Biology Approach to the Model Apicomplexan Toxoplasma gondiiRC4AI092801 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI KIM, KAMI, SULLIVAN, WILLIAM J · 2010 to 2010
$5.6M
Toxoplasma Epigenomics and Gene ExpressionR01AI087625 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KIM, KAMI · 2010 to 2014
$3.5M
NIAID NIH HHS AI087625NIAID NIH HHS RC4AI092801NIGMS NIH HHS T32 GM007491
6 · The paper itself

Abstract

Toxoplasma gondii (T. gondii) is an obligate intracellular parasite that must monitor for changes in the host environment and respond accordingly; however, it is still not fully known which genetic or epigenetic factors are involved in regulating virulence traits of T. gondii. There are on-going efforts to elucidate the mechanisms regulating the stage transition process via the application of high-throughput epigenomics, genomics and proteomics techniques. Given the range of experimental conditions and the typical yield from such high-throughput techniques, a new challenge arises: how to effectively collect, organize and disseminate the generated data for subsequent data analysis. Here, we describe toxoMine, which provides a powerful interface to support sophisticated integrative exploration of high-throughput experimental data and metadata, providing researchers with a more tractable means toward understanding how genetic and/or epigenetic factors play a coordinated role in determining pathogenicity of T. gondii. As a data warehouse, toxoMine allows integration of high-throughput data sets with public T. gondii data. toxoMine is also able to execute complex queries involving multiple data sets with straightforward user interaction. Furthermore, toxoMine allows users to define their own parameters during the search process that gives users near-limitless search and query capabilities. The interoperability feature also allows users to query and examine data available in other InterMine systems, which would effectively augment the search scope beyond what is available to toxoMine. toxoMine complements the major community database ToxoDB by providing a data warehouse that enables more extensive integrative studies for T. gondii. Given all these factors, we believe it will become an indispensable resource to the greater infectious disease research community.

Indexed as

Databases, GeneticGenomicsSystems BiologyToxoplasma

Identifiers

PMID26130662
PMCPMC4485433

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.