Evidence map›Paper›PMID 22260095›Full record

ArticleBMC genomics2012

IntegromeDB: an integrated system and biological search engine.

Michael Baitaluk, Sergey Kozhenkov, Yulia Dubinina, Julia Ponomarenko

Abstract read
In one paragraph

Article in BMC genomics, 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. LAILAPS: the plant science search engine.Plant & cell physiology · 2015
    Article
  2. Article
  3. Article
  4. 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

4 authors.

Michael BaitalukSan Diego Supercomputer Center, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA. baitaluk@sdsc.edu
Sergey Kozhenkov
Yulia Dubinina
Julia Ponomarenko

Funding

BiologicalNetworks: Integrated Environment for Systems BiologyR01GM084881 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BAITALUK, MICHAEL · 2008 to 2011
$1.7M
Transcription Factor-DNA Interactions: Structural Classification and PredictionR01GM085325 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PONOMARENKO, JULIA VLADIMIROVNA · 2008 to 2011
$1.1M
NIGMS NIH HHS R01GM084881NIGMS NIH HHS R01GM085325
6 · The paper itself

Abstract

backgroundWith the growth of biological data in volume and heterogeneity, web search engines become key tools for researchers. However, general-purpose search engines are not specialized for the search of biological data. DESCRIPTION: Here, we present an approach at developing a biological web search engine based on the Semantic Web technologies and demonstrate its implementation for retrieving gene- and protein-centered knowledge. The engine is available at http://www.integromedb.org.

conclusionsThe IntegromeDB search engine allows scanning data on gene regulation, gene expression, protein-protein interactions, pathways, metagenomics, mutations, diseases, and other gene- and protein-related data that are automatically retrieved from publicly available databases and web pages using biological ontologies. To perfect the resource design and usability, we welcome and encourage community feedback.

Indexed as

Databases, FactualComputational BiologyGene ExpressionInternetMetagenomicsProtein Interaction MappingProteinsSearch EngineSoftwareProteins

Identifiers

PMID22260095
PMCPMC3293773

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.