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

被引:7
作者
Li, Jing-Woei [1 ,8 ]
Bolser, Dan
Manske, Magnus
Giorgi, Federico Manuel [2 ,3 ]
Vyahhi, Nikolay [4 ,5 ]
Usadel, Bjoern [6 ,7 ]
Clavijo, Bernardo J.
Chan, Ting-Fung [8 ,9 ]
Wong, Nathalie [10 ]
Zerbino, Daniel [11 ]
Schneider, Maria Victoria
机构
[1] Chinese Univ Hong Kong, Shatin, Hong Kong, Peoples R China
[2] Columbia Univ, Ctr Computat Biol & Bioinformat, New York, NY USA
[3] Inst Appl Genom, RNA Seq Bioinformat Facil, Udine, Italy
[4] Algorithm Biol Lab, St Petersburg, Russia
[5] Theodosius Dobzhansky Ctr Genome Bioinformat, St Petersburg, Russia
[6] Rhein Westfal TH Aachen, Aachen, Germany
[7] Forschungszentrum Julich, D-52425 Julich, Germany
[8] Chinese Univ Hong Kong, Sch Life Sci, Shatin, Hong Kong, Peoples R China
[9] Chinese Univ Hong Kong, Hong Kong Bioinformat Ctr, Shatin, Hong Kong, Peoples R China
[10] Chinese Univ Hong Kong, Dept Anat & Cellular Pathol, Shatin, Hong Kong, Peoples R China
[11] European Mol Biol Lab, European Bioinformat Inst, Cambridge, England
基金
英国生物技术与生命科学研究理事会;
关键词
next-generation sequencing; bioinformatics; training; collaborative learning; best practice; BIOINFORMATICS; FORMAT; SEQANSWERS; COMMUNITY; EDUCATION; TOOLS; GENE;
D O I
10.1093/bib/bbt045
中图分类号
Q5 [生物化学];
学科分类号
070307 [化学生物学];
摘要
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.
引用
收藏
页码:548 / 555
页数:8
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