Evidence map›Paper›PMID 35774515›Full record

ArticleFrontiers in genetics2022

RhythmicDB: A Database of Predicted Multi-Frequency Rhythmic Transcripts.

Stefano Castellana, Tommaso Biagini, Francesco Petrizzelli, Andrea Cabibbo, Gianluigi Mazzoccoli, Tommaso Mazza

Abstract read
In one paragraph

Article in Frontiers in genetics, 2022. 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. CircadiOmics: bioinformatics platform for circadian rhythms.Bioinformatics (Oxford, England) · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Integrative Analysis of Rhythmicity: From Biology to Urban Environments and Sustainability.International journal of environmental research and public health · 2022
    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

6 authors.

Stefano CastellanaBioinformatics Unit, Fondazione IRCCS Casa Sollievo Della Sofferenza, San Giovanni Rotondo, Italy.
Tommaso BiaginiBioinformatics Unit, Fondazione IRCCS Casa Sollievo Della Sofferenza, San Giovanni Rotondo, Italy.
Francesco PetrizzelliBioinformatics Unit, Fondazione IRCCS Casa Sollievo Della Sofferenza, San Giovanni Rotondo, Italy.
Andrea CabibboDepartment of Biology, Centro di Bioinformatica Molecolare, University of Rome "Tor Vergata,", Rome, Italy.
Gianluigi MazzoccoliDepartment of Medical Sciences, Division of Internal Medicine and Chronobiology Laboratory, Fondazione IRCCS Casa Sollievo Della Sofferenza, San Giovanni Rotondo, Italy.
Tommaso MazzaBioinformatics Unit, Fondazione IRCCS Casa Sollievo Della Sofferenza, San Giovanni Rotondo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The physiology and behavior of living organisms are featured by time-related variations driven by molecular clockworks that arose during evolution stochastically and heterogeneously. Over the years, several high-throughput experiments were performed to evaluate time-dependent gene expression in different cell types across several species and experimental conditions. Here, these were retrieved, manually curated, and analyzed by two software packages, BioCycle and MetaCycle, to infer circadian or ultradian transcripts across different species. These transcripts were stored in RhythmicDB and made publically available.

Indexed as

circadian regulationclock genesgene expressionperiodicitytime-course data

Identifiers

PMID35774515
PMCPMC9237250

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.