Evidence map›Paper›PMID 21558175›Full record

ArticleNucleic acids research2011

BeeSpace Navigator: exploratory analysis of gene function using semantic indexing of biological literature.

Moushumi Sen Sarma, David Arcoleo, Radhika S Khetani, Brant Chee, Xu Ling, Xin He, Jing Jiang, Qiaozhu Mei, ChengXiang Zhai, Bruce Schatz

Abstract read
In one paragraph

Article in Nucleic acids research, 2011. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  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

10 authors.

Moushumi Sen SarmaInstitute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
David Arcoleo
Radhika S Khetani
Brant Chee
Xu Ling
Xin He
Jing Jiang
Qiaozhu Mei
ChengXiang Zhai
Bruce Schatz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the rapid decrease in cost of genome sequencing, the classification of gene function is becoming a primary problem. Such classification has been performed by human curators who read biological literature to extract evidence. BeeSpace Navigator is a prototype software for exploratory analysis of gene function using biological literature. The software supports an automatic analogue of the curator process to extract functions, with a simple interface intended for all biologists. Since extraction is done on selected collections that are semantically indexed into conceptual spaces, the curation can be task specific. Biological literature containing references to gene lists from expression experiments can be analyzed to extract concepts that are computational equivalents of a classification such as Gene Ontology, yielding discriminating concepts that differentiate gene mentions from other mentions. The functions of individual genes can be summarized from sentences in biological literature, to produce results resembling a model organism database entry that is automatically computed. Statistical frequency analysis based on literature phrase extraction generates offline semantic indexes to support these gene function services. The website with BeeSpace Navigator is free and open to all; there is no login requirement at www.beespace.illinois.edu for version 4. Materials from the 2010 BeeSpace Software Training Workshop are available at www.beespace.illinois.edu/bstwmaterials.php.

Indexed as

GenesSoftwareAbstracting and IndexingAnimalsInternetMEDLINE

Identifiers

PMID21558175
PMCPMC3125736

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.