Evidence map›Paper›PMID 23793381›Full record

ArticleBriefings in bioinformatics2013

The NGS WikiBook: a dynamic collaborative online training effort with long-term sustainability.

Jing-Woei Li, Dan Bolser, Magnus Manske, Federico Manuel Giorgi, Nikolay Vyahhi, Björn Usadel, Bernardo J Clavijo, Ting-Fung Chan, Nathalie Wong, Daniel Zerbino and 1 more

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Rising Strengths Hong Kong SAR in Bioinformatics.Interdisciplinary sciences, computational life sciences · 2017
    Review
  2. Review
  3. Trimmomatic: a flexible trimmer for Illumina sequence data.Bioinformatics (Oxford, England) · 2014
    Article
  4. OMICtools: an informative directory for multi-omic data analysis.Database : the journal of biological databases and curation · 2014
    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

11 authors.

Jing-Woei LiSchool of Life Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR. Tel.: +852-39431302; marcowanger@gmail.com.
Dan Bolser
Magnus Manske
Federico Manuel Giorgi
Nikolay Vyahhi
Björn Usadel
Bernardo J Clavijo
Ting-Fung Chan
Nathalie Wong
Daniel Zerbino
Maria Victoria Schneider

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

Next-generation sequencing (NGS) is increasingly being adopted as the backbone of biomedical research. With the commercialization of various affordable desktop sequencers, NGS will be reached by increasing numbers of cellular and molecular biologists, necessitating community consensus on bioinformatics protocols to tackle the exponential increase in quantity of sequence data. The current resources for NGS informatics are extremely fragmented. Finding a centralized synthesis is difficult. A multitude of tools exist for NGS data analysis; however, none of these satisfies all possible uses and needs. This gap in functionality could be filled by integrating different methods in customized pipelines, an approach helped by the open-source nature of many NGS programmes. Drawing from community spirit and with the use of the Wikipedia framework, we have initiated a collaborative NGS resource: The NGS WikiBook. We have collected a sufficient amount of text to incentivize a broader community to contribute to it. Users can search, browse, edit and create new content, so as to facilitate self-learning and feedback to the community. The overall structure and style for this dynamic material is designed for the bench biologists and non-bioinformaticians. The flexibility of online material allows the readers to ignore details in a first read, yet have immediate access to the information they need. Each chapter comes with practical exercises so readers may familiarize themselves with each step. The NGS WikiBook aims to create a collective laboratory book and protocol that explains the key concepts and describes best practices in this fast-evolving field.

Indexed as

Computational BiologyComputer-Assisted InstructionCooperative BehaviorHigh-Throughput Nucleotide SequencingInternetTeachingbest practicebioinformaticscollaborative learningnext-generation sequencingtraining

Identifiers

PMID23793381
PMCPMC3771235

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.