Evidence map›Paper›PMID 23180795›Full record

ArticleNucleic acids research2013

CircaDB: a database of mammalian circadian gene expression profiles.

Angel Pizarro, Katharina Hayer, Nicholas F Lahens, John B Hogenesch

Abstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 236 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
236citing papers in PubMed, 3 pooled it
–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

236 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. CircadiOmics: bioinformatics platform for circadian rhythms.Bioinformatics (Oxford, England) · 2026
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176 more citing papers are in PubMed but not listed here.

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

4 authors.

Angel PizarroThe Institute for Translational Medicine and Therapeutics, University of Pennsylvania, 3400 Civic Center Boulevard, Building 421, Philadelphia, PA 19104, USA. angel@upenn.edu
Katharina Hayer
Nicholas F Lahens
John B Hogenesch

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI SHELLEY L BERGER · 1985 to 2026
$222.3M
Institutional Clinical and Translational Science AwardUL1TR000003 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2012 to 2015
$38.9M
Molecular, Cellular and Physiological Mechanisms of the Mammalian Circadian ClockR01NS054794 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI HOGENESCH, JOHN B, LIU, ANDREW C. · 2007 to 2022
$8.1M
Multiscale Analysis of Inter-Clock CommunicationR01HL097800 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A, HOGENESCH, JOHN B · 2009 to 2012
$2.0M
NCATS NIH HHS 8UL1TR000003NCI NIH HHS P30 CA016520NHLBI NIH HHS 1R01HL097800-04NINDS NIH HHS R01 NS054794
6 · The paper itself

Abstract

CircaDB (http://circadb.org) is a new database of circadian transcriptional profiles from time course expression experiments from mice and humans. Each transcript's expression was evaluated by three separate algorithms, JTK_Cycle, Lomb Scargle and DeLichtenberg. Users can query the gene annotations using simple and powerful full text search terms, restrict results to specific data sets and provide probability thresholds for each algorithm. Visualizations of the data are intuitive charts that convey profile information more effectively than a table of probabilities. The CircaDB web application is open source and available at http://github.com/itmat/circadb.

Indexed as

Databases, GeneticGene Expression ProfilingAlgorithmsAnimalsCircadian RhythmHumansInternetMice

Identifiers

PMID23180795
PMCPMC3531170

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.