Evidence map›Paper›PMID 26092690›Full record

ArticleMammalian genome : official journal of the International Mammalian Genome Society2015

GeneWeaver: finding consilience in heterogeneous cross-species functional genomics data.

Jason A Bubier, Charles A Phillips, Michael A Langston, Erich J Baker, Elissa J Chesler

Abstract read
In one paragraph

Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Discovery of a Role forFrontiers in neuroscience · 2020
    Article
  4. Review
  5. Article
  6. Article
  7. 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

5 authors.

Jason A BubierThe Jackson Laboratory, Bar Harbor, ME, 04609, USA.
Charles A PhillipsDepartment of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, 37996, USA.
Michael A LangstonDepartment of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, 37996, USA.
Erich J BakerComputer Science Department, Baylor University, Waco, TX, 76798, USA.
Elissa J CheslerThe Jackson Laboratory, Bar Harbor, ME, 04609, USA. Elissa.Chesler@jax.org.

Funding

Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI William Carl Skarnes · 1985 to 2026
$61.9M
Systems Genetics of Alcohol Response and Stress Effects in CNSU01AA013499 · NIAAA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI WILLIAMS, ROBERT W. · 2002 to 2016
$4.8M
Data Structures, Algorithms and Tools for Ontological DiscoveryR01AA018776 · NIAAA · JACKSON LABORATORY · PI CHESLER, ELISSA J · 2010 to 2019
$3.9M
INIA: Genotyping CoreU01AA013513 · NIAAA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI WILLLIAMS, ROBERT W · 2002 to 2006
$753k
NIAAA NIH HHS NIH R01 AA18776NIAAA NIH HHS R01 AA018776NIAAA NIH HHS U01 AA013499NIAAA NIH HHS U01 AA013513NIAAA NIH HHS U01AA13499NIAAA NIH HHS U24AA13513
6 · The paper itself

Abstract

A persistent challenge lies in the interpretation of consensus and discord from functional genomics experimentation. Harmonizing and analyzing this data will enable investigators to discover relations of many genes to many diseases, and from many phenotypes and experimental paradigms to many diseases through their genomic substrates. The GeneWeaver.org system provides a platform for cross-species integration and interrogation of heterogeneous curated and experimentally derived functional genomics data. GeneWeaver enables researchers to store, share, analyze, and compare results of their own genome-wide functional genomics experiments in an environment containing rich companion data obtained from major curated repositories, including the Mouse Genome Database and other model organism databases, along with derived data from highly specialized resources, publications, and user submissions. The data, largely consisting of gene sets and putative biological networks, are mapped onto one another through gene identifiers and homology across species. A versatile suite of interactive tools enables investigators to perform a variety of set analysis operations to find consilience among these often noisy experimental results. Fast algorithms enable real-time analysis of large queries. Specific applications include prioritizing candidate genes for quantitative trait loci, identifying biologically valid mouse models and phenotypic assays for human disease, finding the common biological substrates of related diseases, classifying experiments and the biological concepts they represent from empirical data, and applying patterns of genomic evidence to implicate novel genes in disease. These results illustrate an alternative to strict emphasis on replicability, whereby researchers classify experimental results to identify the conditions that lead to their similarity.

Indexed as

Databases, GeneticGenomicsAlgorithmsAnimalsHumansInternetMicePhenotypeQuantitative Trait LociSoftwareTranscriptome

Identifiers

PMID26092690
PMCPMC4602068

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.