Evidence map›Paper›PMID 24214963›Full record

ArticleNucleic acids research2014

Manually curated database of rice proteins.

Pratibha Gour, Priyanka Garg, Rashmi Jain, Shaji V Joseph, Akhilesh K Tyagi, Saurabh Raghuvanshi

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Integrating omics databases for enhanced crop breeding.Journal of integrative bioinformatics · 2023
    Review
  2. Review
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  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
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  10. Information Commons for Rice (IC4R).Nucleic acids research · 2016
    Article
  11. Article
  12. Article
  13. 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

6 authors.

Pratibha GourDepartment of Plant Molecular Biology, University of Delhi South Campus, Benito Juarez Road, New Delhi - 110021, India.
Priyanka Garg
Rashmi Jain
Shaji V Joseph
Akhilesh K Tyagi
Saurabh Raghuvanshi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

'Manually Curated Database of Rice Proteins' (MCDRP) available at http://www.genomeindia.org/biocuration is a unique curated database based on published experimental data. Semantic integration of scientific data is essential to gain a higher level of understanding of biological systems. Since the majority of scientific data is available as published literature, text mining is an essential step before the data can be integrated and made available for computer-based search in various databases. However, text mining is a tedious exercise and thus, there is a large gap in the data available in curated databases and published literature. Moreover, data in an experiment can be perceived from several perspectives, which may not reflect in the text-based curation. In order to address such issues, we have demonstrated the feasibility of digitizing the experimental data itself by creating a database on rice proteins based on in-house developed data curation models. Using these models data of individual experiments have been digitized with the help of universal ontologies. Currently, the database has data for over 1800 rice proteins curated from >4000 different experiments of over 400 research articles. Since every aspect of the experiment such as gene name, plant type, tissue and developmental stage has been digitized, experimental data can be rapidly accessed and integrated.

Indexed as

Databases, ProteinGenes, PlantInternetOryzaPlant ProteinsPlant Proteins

Identifiers

PMID24214963
PMCPMC3964970

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.