Evidence map›Paper›PMID 21813477›Full record

ArticleBioinformatics (Oxford, England)2011

The GNAT library for local and remote gene mention normalization.

Jörg Hakenberg, Martin Gerner, Maximilian Haeussler, Illés Solt, Conrad Plake, Michael Schroeder, Graciela Gonzalez, Goran Nenadic, Casey M Bergman

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Assigning species information to corresponding genes by a sequence labeling framework.Database : the journal of biological databases and curation · 2022
    Article
  5. Joint Learning for Biomedical NER and Entity Normalization: Encoding Schemes, Counterfactual Examples, and Zero-Shot Evaluation.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2021
    Article
  6. Article
  7. Article
  8. Review
  9. OGER++: hybrid multi-type entity recognition.Journal of cheminformatics · 2019
    Article
  10. Article
  11. Article
  12. Article
  13. AuDis: an automatic CRF-enhanced disease normalization in biomedical text.Database : the journal of biological databases and curation · 2016
    Article
  14. Review
  15. Article
  16. Article
  17. Using Ontology Fingerprints to disambiguate gene name entities in the biomedical literature.Database : the journal of biological databases and curation · 2015
    Article
  18. Article
  19. Article
  20. 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

9 authors.

Jörg HakenbergPharma Research and Early Development, Hoffmann-La Roche Inc., Nutley, NJ 07110, USA. jorg.hakenberg@roche.com
Martin Gerner
Maximilian Haeussler
Illés Solt
Conrad Plake
Michael Schroeder
Graciela Gonzalez
Goran Nenadic
Casey M Bergman

Funding

Biotechnology and Biological Sciences Research Council BB/G000093/1
6 · The paper itself

Abstract

summaryIdentifying mentions of named entities, such as genes or diseases, and normalizing them to database identifiers have become an important step in many text and data mining pipelines. Despite this need, very few entity normalization systems are publicly available as source code or web services for biomedical text mining. Here we present the Gnat Java library for text retrieval, named entity recognition, and normalization of gene and protein mentions in biomedical text. The library can be used as a component to be integrated with other text-mining systems, as a framework to add user-specific extensions, and as an efficient stand-alone application for the identification of gene and protein names for data analysis. On the BioCreative III test data, the current version of Gnat achieves a Tap-20 score of 0.1987. AVAILABILITY: The library and web services are implemented in Java and the sources are available from http://gnat.sourceforge.net. CONTACT: jorg.hakenberg@roche.com.

Indexed as

Data MiningGene LibraryElectronic Data ProcessingGenesInternetProteinsPublishingTerminology as TopicProteins

Identifiers

PMID21813477
PMCPMC3179658

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.