Evidence map›Paper›PMID 26097192›Full record

ReviewGenesis (New York, N.Y. : 2000)2015

Cross-organism analysis using InterMine.

Rachel Lyne, Julie Sullivan, Daniela Butano, Sergio Contrino, Joshua Heimbach, Fengyuan Hu, Alex Kalderimis, Mike Lyne, Richard N Smith, Radek Štěpán and 14 more

Abstract readReview
In one paragraph

Review in Genesis (New York, N.Y. : 2000), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Genenames.org: the HGNC resources in 2023.Nucleic acids research · 2023
    Article
  3. Gramene: A Resource for Comparative Analysis of Plants Genomes and Pathways.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Using ZFIN: Data Types, Organization, and Retrieval.Methods in molecular biology (Clifton, N.J.) · 2018
    Article
  13. Naming CRISPR alleles: endonuclease-mediated mutation nomenclature across species.Mammalian genome : official journal of the International Mammalian Genome Society · 2017
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. 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

24 authors.

Rachel LyneCambridge Systems Biology Centre, University of Cambridge, Cambridge, United Kingdom.
Julie SullivanCambridge Systems Biology Centre, University of Cambridge, Cambridge, United Kingdom.
Daniela ButanoCambridge Systems Biology Centre, University of Cambridge, Cambridge, United Kingdom.
Sergio ContrinoCambridge Systems Biology Centre, University of Cambridge, Cambridge, United Kingdom.
Joshua HeimbachCambridge Systems Biology Centre, University of Cambridge, Cambridge, United Kingdom.
Fengyuan HuCambridge Systems Biology Centre, University of Cambridge, Cambridge, United Kingdom.
Alex KalderimisCambridge Systems Biology Centre, University of Cambridge, Cambridge, United Kingdom.
Mike LyneCambridge Systems Biology Centre, University of Cambridge, Cambridge, United Kingdom.
Richard N SmithCambridge Systems Biology Centre, University of Cambridge, Cambridge, United Kingdom.
Radek ŠtěpánCambridge Systems Biology Centre, University of Cambridge, Cambridge, United Kingdom.
Rama BalakrishnanDepartment of Genetics, Stanford University, Stanford, California.
Gail BinkleyDepartment of Genetics, Stanford University, Stanford, California.
Todd HarrisOntario Institute for Cancer Research, Toronto, Ontario, Canada.
Kalpana KarraDepartment of Genetics, Stanford University, Stanford, California.
Sierra A T MoxonZFIN, University of Oregon, Eugene, Oregon.
Howie MotenkoThe Jackson Laboratory, Bar Harbor, Maine.
Steven NeuhauserThe Jackson Laboratory, Bar Harbor, Maine.
Leyla RuzickaZFIN, University of Oregon, Eugene, Oregon.
Mike CherryDepartment of Genetics, Stanford University, Stanford, California.
Joel RichardsonThe Jackson Laboratory, Bar Harbor, Maine.
Lincoln SteinOntario Institute for Cancer Research, Toronto, Ontario, Canada.
Monte WesterfieldZFIN, University of Oregon, Eugene, Oregon.
Elizabeth WortheyHuman and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin.
Gos MicklemCambridge Systems Biology Centre, University of Cambridge, Cambridge, United Kingdom.

Funding

InterMOD: integrated data and tools to support model organism researchR01HG004834 · NHGRI · UNIVERSITY OF CAMBRIDGE · PI CHERRY, J. MICHAEL, MICKLEM, GOS · 2009 to 2013
$2.8M
NHGRI NIH HHS R01 HG004834NHGRI NIH HHS R01HG004834Wellcome TrustWellcome Trust 0991 33
6 · The paper itself

Abstract

InterMine is a data integration warehouse and analysis software system developed for large and complex biological data sets. Designed for integrative analysis, it can be accessed through a user-friendly web interface. For bioinformaticians, extensive web services as well as programming interfaces for most common scripting languages support access to all features. The web interface includes a useful identifier look-up system, and both simple and sophisticated search options. Interactive results tables enable exploration, and data can be filtered, summarized, and browsed. A set of graphical analysis tools provide a rich environment for data exploration including statistical enrichment of sets of genes or other entities. InterMine databases have been developed for the major model organisms, budding yeast, nematode worm, fruit fly, zebrafish, mouse, and rat together with a newly developed human database. Here, we describe how this has facilitated interoperation and development of cross-organism analysis tools and reports. InterMine as a data exploration and analysis tool is also described. All the InterMine-based systems described in this article are resources freely available to the scientific community.

Indexed as

Databases, FactualSoftwareAnimalsComputational BiologyDatabases, GeneticGenomicsHumansInternetSystems IntegrationUser-Computer Interfacecomparative analysiscross-organism analysisdata analysisdata integrationgenomicsintegrative analysisproteomics

Identifiers

PMID26097192
PMCPMC4545681

What OpenQuestion holds

Textmetadata
LicenceTDM
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.