Evidence map›Paper›PMID 19592395›Full record

ArticleBioinformatics (Oxford, England)2009

aGEM: an integrative system for analyzing spatial-temporal gene-expression information.

Natalia Jiménez-Lozano, Joan Segura, José Ramón Macías, Juanjo Vega, José María Carazo

Open access · bronzeAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 33% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Natalia Jiménez-LozanoGN7 of the National Institute for Bioinformatics and Biocomputing Unit of the National Centre for Biotechnology, Darwin 3, Campus de Cantoblanco, 28049 Madrid, Spain. natalia@cnb.csic.es
Joan Segura
José Ramón Macías
Juanjo Vega
José María Carazo
Centro Nacional de Biotecnología · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationThe work presented here describes the 'anatomical Gene-Expression Mapping (aGEM)' Platform, a development conceived to integrate phenotypic information with the spatial and temporal distributions of genes expressed in the mouse. The aGEM Platform has been built by extending the Distributed Annotation System (DAS) protocol, which was originally designed to share genome annotations over the WWW. DAS is a client-server system in which a single client integrates information from multiple distributed servers.

resultsThe aGEM Platform provides information to answer three main questions. (i) Which genes are expressed in a given mouse anatomical component? (ii) In which mouse anatomical structures are a given gene or set of genes expressed? And (iii) is there any correlation among these findings? Currently, this Platform includes several well-known mouse resources (EMAGE, GXD and GENSAT), hosting gene-expression data mostly obtained from in situ techniques together with a broad set of image-derived annotations. AVAILABILITY: The Platform is optimized for Firefox 3.0 and it is accessed through a friendly and intuitive display: http://agem.cnb.csic.es

Indexed as

Gene ExpressionSoftwareComputational BiologyInformation Storage and RetrievalInternet

Identifiers

PMID19592395
PMCPMC2752607
OpenAlexW2151524809

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.