Evidence map›Paper›PMID 23160412›Full record

ArticleDatabase : the journal of biological databases and curation2012

Opportunities for text mining in the FlyBase genetic literature curation workflow.

Peter McQuilton, FlyBase Consortium

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Biocuration with insufficient resources and fixed timelines.Database : the journal of biological databases and curation · 2015
    Article
  6. Review
  7. Article
  8. 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

2 authors.

Peter McQuiltonDepartment of Genetics, University of Cambridge, Downing Street, Cambridge CB2 3EH, UK. p.mcquilton@gen.cam.ac.uk
FlyBase Consortium

Funding

FLYBASE: A DROSOPHILA RELATIONAL DATABASEP41HG000739 · NHGRI · HARVARD UNIVERSITY · PI GELBART, WILLIAM MARTIN · 1992 to 2014
$56.6M
UNM Initiative to Maximize Student Diversity (IMSD)R25GM060201 · NIGMS · UNIVERSITY OF NEW MEXICO · PI WERNER-WASHBURNE, MARGRET C. · 2000 to 2017
$9.9M
Medical Research Council G1000968NHGRI NIH HHS P41 HG00739NIGMS NIH HHS R25 GM060201
6 · The paper itself

Abstract

FlyBase is the model organism database for Drosophila genetic and genomic information. Over the last 20 years, FlyBase has had to adapt and change to keep abreast of advances in biology and database design. We are continually looking for ways to improve curation efficiency and efficacy. Genetic literature curation focuses on the extraction of genetic entities (e.g. genes, mutant alleles, transgenic constructs) and their associated phenotypes and Gene Ontology terms from the published literature. Over 2000 Drosophila research articles are now published every year. These articles are becoming ever more data-rich and there is a growing need for text mining to shoulder some of the burden of paper triage and data extraction. In this article, we describe our curation workflow, along with some of the problems and bottlenecks therein, and highlight the opportunities for text mining. We do so in the hope of encouraging the BioCreative community to help us to develop effective methods to mine this torrent of information. DATABASE URL: http://flybase.org

Indexed as

Databases, GeneticWorkflowAnimalsData MiningDrosophilaPhenotype

Identifiers

PMID23160412
PMCPMC3500518

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.