Evidence map›Paper›PMID 22923306›Full record

ArticleBioinformatics (Oxford, England)2012

Exploring spatial patterns of gene expression from fruit fly embryogenesis on the iPhone.

Sudhir Kumar, Kelly Boccia, Michael McCutchan, Jieping Ye

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. The Roles of the LIM Domain Proteins inFrontiers in cardiovascular medicine · 2021
    Review
  3. Article
  4. 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

4 authors.

Sudhir KumarCenter for Evolutionary Medicine and Informatics, Biodesign Institute, Arizona State University (ASU), Tempe, AZ 85287-5301, USA. s.kumar@asu.edu
Kelly Boccia
Michael McCutchan
Jieping Ye

Funding

Computatonal Analysis of Gene Expression Pattern ImagesR01HG002516 · NHGRI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI KUMAR, SUDHIR · 2003 to 2013
$5.3M
Computational Methods for Expression Image AnalysisR01LM010730 · NLM · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI KUMAR, SUDHIR, YE, JIEPING · 2011 to 2013
$934k
NHGRI NIH HHS HG002516-08NHGRI NIH HHS R01 HG002516NLM NIH HHS LM010730-02NLM NIH HHS R01 LM010730
6 · The paper itself

Abstract

unlabelledMobile technologies provide unique opportunities for ubiquitous distribution of scientific information through user-friendly interfaces. Therefore, we have developed a new FlyExpress mobile application that makes available a growing collection (>100 000) of standardized in situ hybridization images containing spatial patterns of gene expression from Drosophila melanogaster (fruit fly) embryogenesis. Using this application, scientists can visualize and compare expression patterns of >4000 developmentally relevant genes. The FlyExpress app displays the expression patterns of the selected gene for different visual projections (e.g. lateral) and displays them according to their developmental stages, which shows a gene's progression of spatial expression over developmental time. Ultimately, we envision the use of FlyExpress app in the laboratory where scientists may wish to immediately conduct a visual comparison of a known expression pattern with the one observed on the bench top or to display expression patterns of interest during scientific discussions at large. AVAILABILITY: Search "FlyExpress" on the Apple iTunes store.

Indexed as

Cell PhoneAlgorithmsAnimalsBody PatterningData DisplayDrosophila melanogasterEmbryonic DevelopmentGene Expression ProfilingGene Expression Regulation, DevelopmentalInformation Storage and RetrievalMultigene FamilyUser-Computer Interface

Identifiers

PMID22923306
PMCPMC3476331

What OpenQuestion holds

Textmetadata
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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.