Evidence map›Paper›PMID 28100700›Full record

ArticleNucleic acids research2017

PBrowse: a web-based platform for real-time collaborative exploration of genomic data.

Peter S Szot, Andrian Yang, Xin Wang, Chirag Parsania, Uwe Röhm, Koon Ho Wong, Joshua W K Ho

Abstract read
In one paragraph

Article in Nucleic acids research, 2017. 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. Review
  3. 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

7 authors.

Peter S SzotVictor Chang Cardiac Research Institute, Darlinghurst, NSW 2010, Australia.
Andrian YangVictor Chang Cardiac Research Institute, Darlinghurst, NSW 2010, Australia.
Xin WangVictor Chang Cardiac Research Institute, Darlinghurst, NSW 2010, Australia.
Chirag ParsaniaFaculty of Health Sciences, University of Macau, Macau SAR, China.
Uwe RöhmSchool of Information Technologies, University of Sydney, NSW 2006, Australia.
Koon Ho WongFaculty of Health Sciences, University of Macau, Macau SAR, China.
Joshua W K HoVictor Chang Cardiac Research Institute, Darlinghurst, NSW 2010, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome browsers are widely used for individually exploring various types of genomic data. A handful of genome browsers offer limited tools for collaboration among multiple users. Here, we describe PBrowse, an integrated real-time collaborative genome browser that enables multiple users to simultaneously view and access genomic data, thereby harnessing the wisdom of the crowd. PBrowse is based on the Dalliance genome browser and has a re-designed user and data management system with novel collaborative functionalities, including real-time collaborative view, track comment and an integrated group chat feature. Through the Distributed Annotation Server protocol, PBrowse can easily access a wide range of publicly available genomic data, such as the ENCODE data sets. We argue that PBrowse represents a paradigm shift from using a genome browser as a static data visualization tool to a platform that enables real-time human-human interaction and knowledge exchange in a collaborative setting. PBrowse is available at http://pbrowse.victorchang.edu.au, and its source code is available via an open source BSD 3 license at http://github.com/VCCRI/PBrowse.

Indexed as

Databases, GeneticInternetWeb BrowserCooperative BehaviorGenome, HumanHumansInformation Storage and RetrievalUser-Computer Interface

Identifiers

PMID28100700
PMCPMC5605237

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.