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. 2019 Apr 15;35(8):1438-1440.
doi: 10.1093/bioinformatics/bty794.

SequencEnG: an interactive knowledge base of sequencing techniques

Yi Zhang  1   2 , Mohith Manjunath  2 , Yeonsung Kim  2 , Joerg Heintz  2 , Jun S Song  2   3
Affiliations

SequencEnG: an interactive knowledge base of sequencing techniques

Yi Zhang et al. Bioinformatics. .

Abstract

Summary: Next-generation sequencing (NGS) techniques are revolutionizing biomedical research by providing powerful methods for generating genomic and epigenomic profiles. The rapid progress is posing an acute challenge to students and researchers to stay acquainted with the numerous available methods. We have developed an interactive online educational resource called Sequencing Techniques Engine for Genomics (SequencEnG) to provide a tree-structured knowledge base of 66 different sequencing techniques and step-by-step NGS data analysis pipelines comparing popular tools. SequencEnG is designed to facilitate barrier-free learning of current NGS techniques and provides a user-friendly interface for searching through experimental and analysis methods.

Availability and implementation: SequencEnG is part of the project Knowledge Engine for Genomics (KnowEnG) and is freely available at http://education.knoweng.org/sequenceng/.

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Figures

Fig. 1.
Fig. 1.
Snapshots of SequencEnG. (A) The interactive NGS knowledge tree with sequencing goals as branches and sequencing techniques as leaves; bottom right shows an example of the graphical experimental steps for ATAC-seq. (B) An example of the analysis pipeline for RNA-seq. (C) An example of major bioinformatics tools available
See this image and copyright information in PMC

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