Sequenceng: An interactive knowledge base of sequencing techniques

Yi Zhang, Mohith Manjunath, Yeonsung Kim, Joerg Heintz, Jun S. Song

Research output: Contribution to journalArticlepeer-review


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

Original languageEnglish (US)
Pages (from-to)1438-1440
Number of pages3
Issue number8
StatePublished - Apr 15 2019

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics


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