Literature DB >> 29028264

TeachEnG: a Teaching Engine for Genomics.

Minji Kim1,2, Yeonsung Kim2, Lei Qian3, Jun S Song2,4,5.   

Abstract

MOTIVATION: Bioinformatics is a rapidly growing field that has emerged from the synergy of computer science, statistics and biology. Given the interdisciplinary nature of bioinformatics, many students from diverse fields struggle with grasping bioinformatic concepts only from classroom lectures. Interactive tools for helping students reinforce their learning would be thus desirable. Here, we present an interactive online educational tool called TeachEnG (acronym for Teaching Engine for Genomics) for reinforcing key concepts in sequence alignment and phylogenetic tree reconstruction. Our instructional games allow students to align sequences by hand, fill out the dynamic programming matrix in the Needleman-Wunsch global sequence alignment algorithm, and reconstruct phylogenetic trees via the maximum parsimony, Unweighted Pair Group Method with Arithmetic mean (UPGMA) and Neighbor-Joining algorithms. With an easily accessible interface and instant visual feedback, TeachEnG will help promote active learning in bioinformatics.
AVAILABILITY AND IMPLEMENTATION: TeachEnG is freely available at http://teacheng.illinois.edu. The source code is available from https://github.com/KnowEnG/TeachEnG under the Artistic License 2.0. It is written in JavaScript and compatible with Firefox, Safari, Chrome and Microsoft Edge. CONTACT: songj@illinois.edu.
© The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

Entities:  

Mesh:

Year:  2017        PMID: 29028264      PMCID: PMC5860038          DOI: 10.1093/bioinformatics/btx447

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  4 in total

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Authors:  R Bellman
Journal:  Proc Natl Acad Sci U S A       Date:  1952-08       Impact factor: 11.205

2.  The neighbor-joining method: a new method for reconstructing phylogenetic trees.

Authors:  N Saitou; M Nei
Journal:  Mol Biol Evol       Date:  1987-07       Impact factor: 16.240

3.  A general method applicable to the search for similarities in the amino acid sequence of two proteins.

Authors:  S B Needleman; C D Wunsch
Journal:  J Mol Biol       Date:  1970-03       Impact factor: 5.469

4.  Interactive software tool to comprehend the calculation of optimal sequence alignments with dynamic programming.

Authors:  Ignacio L Ibarra; Francisco Melo
Journal:  Bioinformatics       Date:  2010-05-14       Impact factor: 6.937

  4 in total
  2 in total

1.  SequencEnG: an interactive knowledge base of sequencing techniques.

Authors:  Yi Zhang; Mohith Manjunath; Yeonsung Kim; Joerg Heintz; Jun S Song
Journal:  Bioinformatics       Date:  2019-04-15       Impact factor: 6.937

2.  Higher Bacterial Diversity of Gut Microbiota in Different Natural Populations of Leafhopper Vector Does Not Influence WDV Transmission.

Authors:  Hui Wang; Nan Wu; Yan Liu; Jiban Kumar Kundu; Wenwen Liu; Xifeng Wang
Journal:  Front Microbiol       Date:  2019-05-29       Impact factor: 5.640

  2 in total

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