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SequencEnG: an interactive knowledge base of sequencing techniques.

Publication ,  Journal Article
Zhang, Y; Manjunath, M; Kim, Y; Heintz, J; Song, JS
Published in: Bioinformatics
April 15, 2019

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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Published In

Bioinformatics

DOI

EISSN

1367-4811

Publication Date

April 15, 2019

Volume

35

Issue

8

Start / End Page

1438 / 1440

Location

England

Related Subject Headings

  • Software
  • Knowledge Bases
  • Humans
  • High-Throughput Nucleotide Sequencing
  • Genomics
  • Bioinformatics
  • 49 Mathematical sciences
  • 46 Information and computing sciences
  • 31 Biological sciences
  • 08 Information and Computing Sciences
 

Citation

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Zhang, Y., Manjunath, M., Kim, Y., Heintz, J., & Song, J. S. (2019). SequencEnG: an interactive knowledge base of sequencing techniques. Bioinformatics, 35(8), 1438–1440. https://doi.org/10.1093/bioinformatics/bty794
Zhang, Yi, Mohith Manjunath, Yeonsung Kim, Joerg Heintz, and Jun S. Song. “SequencEnG: an interactive knowledge base of sequencing techniques.Bioinformatics 35, no. 8 (April 15, 2019): 1438–40. https://doi.org/10.1093/bioinformatics/bty794.
Zhang Y, Manjunath M, Kim Y, Heintz J, Song JS. SequencEnG: an interactive knowledge base of sequencing techniques. Bioinformatics. 2019 Apr 15;35(8):1438–40.
Zhang, Yi, et al. “SequencEnG: an interactive knowledge base of sequencing techniques.Bioinformatics, vol. 35, no. 8, Apr. 2019, pp. 1438–40. Pubmed, doi:10.1093/bioinformatics/bty794.
Zhang Y, Manjunath M, Kim Y, Heintz J, Song JS. SequencEnG: an interactive knowledge base of sequencing techniques. Bioinformatics. 2019 Apr 15;35(8):1438–1440.

Published In

Bioinformatics

DOI

EISSN

1367-4811

Publication Date

April 15, 2019

Volume

35

Issue

8

Start / End Page

1438 / 1440

Location

England

Related Subject Headings

  • Software
  • Knowledge Bases
  • Humans
  • High-Throughput Nucleotide Sequencing
  • Genomics
  • Bioinformatics
  • 49 Mathematical sciences
  • 46 Information and computing sciences
  • 31 Biological sciences
  • 08 Information and Computing Sciences