Evidence map›Paper›PMID 24578356›Full record

ArticleDatabase : the journal of biological databases and curation2014

The Zebrafish GenomeWiki: a crowdsourcing approach to connect the long tail for zebrafish gene annotation.

Meghna Singh, Deeksha Bhartiya, Jayant Maini, Meenakshi Sharma, Angom Ramcharan Singh, Subburaj Kadarkaraisamy, Rajiv Rana, Ankit Sabharwal, Srishti Nanda, Aravindhakshan Ramachandran and 37 more

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

47 authors.

Meghna SinghCSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110007, India, Academy of Scientific and Innovative Research (AcSIR), Anusandhan Bhawan, Delhi 110001, India, Acharya Narendra Dev College, Delhi University, Govindpuri, Kalkaji, New Delhi 110019, India, Dr. B. R. Ambedkar Center for Biomedical Research, University of Delhi, Delhi 110007, India, Department of Genetics, University of Delhi South Campus, Benito Juarez Road, Dhaula Kuan, New Delhi 110021, India and Mayo Clinic, Rochester, MN, USA.
Deeksha Bhartiya
Jayant Maini
Meenakshi Sharma
Angom Ramcharan Singh
Subburaj Kadarkaraisamy
Rajiv Rana
Ankit Sabharwal
Srishti Nanda
Aravindhakshan Ramachandran
Ashish Mittal
Shruti Kapoor
Paras Sehgal
Zainab Asad
Kriti Kaushik
Shamsudheen Karuthedath Vellarikkal
Divya Jagga
Muthulakshmi Muthuswami
Rajendra K Chauhan
Elvin Leonard
Ruby Priyadarshini
Mahantappa Halimani
Sunny Malhotra
Ashok Patowary
Harinder Vishwakarma
Prateek Joshi
Vivek Bhardwaj
Arijit Bhaumik
Bharat Bhatt
Aamod Jha
Aalok Kumar
Prerna Budakoti
Mukesh Kumar Lalwani
Rajeshwari Meli
Saakshi Jalali
Kandarp Joshi
Koustav Pal
Heena Dhiman
Saurabh V Laddha
Vaibhav Jadhav
Naresh Singh
Vikas Pandey
Chetana Sachidanandan
Stephen C Ekker
Eric W Klee
Vinod Scaria
Sridhar Sivasubbu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large repertoire of gene-centric data has been generated in the field of zebrafish biology. Although the bulk of these data are available in the public domain, most of them are not readily accessible or available in nonstandard formats. One major challenge is to unify and integrate these widely scattered data sources. We tested the hypothesis that active community participation could be a viable option to address this challenge. We present here our approach to create standards for assimilation and sharing of information and a system of open standards for database intercommunication. We have attempted to address this challenge by creating a community-centric solution for zebrafish gene annotation. The Zebrafish GenomeWiki is a 'wiki'-based resource, which aims to provide an altruistic shared environment for collective annotation of the zebrafish genes. The Zebrafish GenomeWiki has features that enable users to comment, annotate, edit and rate this gene-centric information. The credits for contributions can be tracked through a transparent microattribution system. In contrast to other wikis, the Zebrafish GenomeWiki is a 'structured wiki' or rather a 'semantic wiki'. The Zebrafish GenomeWiki implements a semantically linked data structure, which in the future would be amenable to semantic search. Database URL: http://genome.igib.res.in/twiki.

Indexed as

InternetAnimalsCrowdsourcingDatabases, GeneticGenomeMolecular Sequence AnnotationZebrafish

Identifiers

PMID24578356
PMCPMC3936183

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.