Evidence map›Paper›PMID 17135195›Full record

ArticleNucleic acids research2007

Mouse Tumor Biology Database (MTB): status update and future directions.

Dale A Begley, Debra M Krupke, Matthew J Vincent, John P Sundberg, Carol J Bult, Janan T Eppig

Abstract read
In one paragraph

Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The Mouse Tumor Biology database.Nature reviews. Cancer · 2008
    Review
  8. Integrating mouse anatomy and pathology ontologies into a phenotyping database: tools for data capture and training.Mammalian genome : official journal of the International Mammalian Genome Society · 2008
    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

6 authors.

Dale A BegleyThe Jackson Laboratory, 600 Main Street, Bar Harbor, Maine, USA. dab@informatics.jax.org
Debra M Krupke
Matthew J Vincent
John P Sundberg
Carol J Bult
Janan T Eppig

Funding

Mouse Models of Human Cancer DatabaseR01CA089713 · NCI · JACKSON LABORATORY · PI BULT, CAROL J · 2002 to 2025
$17.5M
NCI NIH HHS CA89713NCI NIH HHS R01 CA089713
6 · The paper itself

Abstract

The Mouse Tumor Biology (MTB) database provides access to data about endogenously arising tumors (both spontaneous and induced) in genetically defined mice (inbred, hybrid, mutant and genetically engineered mice). Data include information on the frequency and latency of mouse tumors, pathology reports and images, genomic changes occurring in the tumors, genetic (strain) background and literature or contributor citations. Data are curated from the primary literature or submitted directly from researchers. MTB is accessed via the Mouse Genome Informatics web site (http://www.informatics.jax.org). Integrated searches of MTB are enabled through use of multiple controlled vocabularies and by adherence to standardized nomenclature, when available. Recently MTB has been redesigned and its database infrastructure replaced with a robust relational database management system (RDMS). Web interface improvements include a new advanced query form and enhancements to already existing search capabilities. The Tumor Frequency Grid has been revised to enhance interactivity, providing an overview of reported tumor incidence across mouse strains and an entrée into the database. A new pathology data submission tool allows users to submit, edit and release data to the MTB system.

Indexed as

Databases, FactualDisease Models, AnimalMiceAnimalsComputer GraphicsDatabase Management SystemsInternetNeoplasms, ExperimentalUser-Computer Interface

Identifiers

PMID17135195
PMCPMC1751545

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.