Evidence map›Paper›PMID 24910945›Full record

ArticleOmics : a journal of integrative biology2014

MOPED 2.5--an integrated multi-omics resource: multi-omics profiling expression database now includes transcriptomics data.

Elizabeth Montague, Larissa Stanberry, Roger Higdon, Imre Janko, Elaine Lee, Nathaniel Anderson, John Choiniere, Elizabeth Stewart, Gregory Yandl, William Broomall and 2 more

Abstract read
In one paragraph

Article in Omics : a journal of integrative biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
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  15. Genic insights from integrated human proteomics in GeneCards.Database : the journal of biological databases and curation · 2016
    Article
  16. Article
  17. Article
  18. Multidimensional proteomics for cell biology.Nature reviews. Molecular cell biology · 2015
    Review
  19. Review
  20. 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

12 authors.

Elizabeth Montague1 Bioinformatics and High-Throughput Analysis Laboratory, Center for Developmental Therapeutics, Seattle Children's Research Institute , Seattle, Washington.
Larissa Stanberry
Roger Higdon
Imre Janko
Elaine Lee
Nathaniel Anderson
John Choiniere
Elizabeth Stewart
Gregory Yandl
William Broomall
Natali Kolker
Eugene Kolker

Funding

Coordinating Center for Beta Cell Biology ConsortiumU01DK072473 · NIDDK · VANDERBILT UNIVERSITY · PI MAGNUSON, MARK A · 2005 to 2014
$61.0M
Signaling and Epigenetic Control of Beta Cell Development and RegenerationU01DK089571 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI ZARET, KENNETH · 2010 to 2011
$1.6M
NIDDK NIH HHS U01DK072473NIDDK NIH HHS U01DK089571
6 · The paper itself

Abstract

Multi-omics data-driven scientific discovery crucially rests on high-throughput technologies and data sharing. Currently, data are scattered across single omics repositories, stored in varying raw and processed formats, and are often accompanied by limited or no metadata. The Multi-Omics Profiling Expression Database (MOPED, http://moped.proteinspire.org ) version 2.5 is a freely accessible multi-omics expression database. Continual improvement and expansion of MOPED is driven by feedback from the Life Sciences Community. In order to meet the emergent need for an integrated multi-omics data resource, MOPED 2.5 now includes gene relative expression data in addition to protein absolute and relative expression data from over 250 large-scale experiments. To facilitate accurate integration of experiments and increase reproducibility, MOPED provides extensive metadata through the Data-Enabled Life Sciences Alliance (DELSA Global, http://delsaglobal.org ) metadata checklist. MOPED 2.5 has greatly increased the number of proteomics absolute and relative expression records to over 500,000, in addition to adding more than four million transcriptomics relative expression records. MOPED has an intuitive user interface with tabs for querying different types of omics expression data and new tools for data visualization. Summary information including expression data, pathway mappings, and direct connection between proteins and genes can be viewed on Protein and Gene Details pages. These connections in MOPED provide a context for multi-omics expression data exploration. Researchers are encouraged to submit omics data which will be consistently processed into expression summaries. MOPED as a multi-omics data resource is a pivotal public database, interdisciplinary knowledge resource, and platform for multi-omics understanding.

Indexed as

Databases, GeneticSoftwareAnimalsGene Expression ProfilingHumansInformation DisseminationProteomics

Identifiers

PMID24910945
PMCPMC4048574

What OpenQuestion holds

Textmetadata
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.