Evidence map›Paper›PMID 25452484›Full record

ReviewCBE life sciences education2014

A survey of scholarly literature describing the field of bioinformatics education and bioinformatics educational research.

Alejandra J Magana, Manaz Taleyarkhan, Daniela Rivera Alvarado, Michael Kane, John Springer, Kari Clase

Abstract readReview
In one paragraph

Review in CBE life sciences education, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed.

  1. Article
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  11. SupportingPRIMUS : problems, resources, and issues in mathematics undergraduate studies · 2022
    Article
  12. Article
  13. Train-the-Trainer as an Effective Approach to Building Global Networks of Experts in Genomic Surveillance of Antimicrobial Resistance (AMR).Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  14. Article
  15. Article
  16. Online Tools for Teaching Cancer Bioinformatics.Journal of microbiology & biology education · 2021
    Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Alejandra J Magana*Department of Computer and Information Technology, Purdue University, West Lafayette, IN 47906 *Department of Computer and Information Technology, Purdue University, West Lafayette, IN 47906 admagana@purdue.edu.
Manaz Taleyarkhan*Department of Computer and Information Technology, Purdue University, West Lafayette, IN 47906.
Daniela Rivera Alvarado*Department of Computer and Information Technology, Purdue University, West Lafayette, IN 47906.
Michael Kane*Department of Computer and Information Technology, Purdue University, West Lafayette, IN 47906.
John Springer*Department of Computer and Information Technology, Purdue University, West Lafayette, IN 47906.
Kari ClaseDepartment of Technology, Leadership and Innovation, Purdue University, West Lafayette, IN 47906.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioinformatics education can be broadly defined as the teaching and learning of the use of computer and information technology, along with mathematical and statistical analysis for gathering, storing, analyzing, interpreting, and integrating data to solve biological problems. The recent surge of genomics, proteomics, and structural biology in the potential advancement of research and development in complex biomedical systems has created a need for an educated workforce in bioinformatics. However, effectively integrating bioinformatics education through formal and informal educational settings has been a challenge due in part to its cross-disciplinary nature. In this article, we seek to provide an overview of the state of bioinformatics education. This article identifies: 1) current approaches of bioinformatics education at the undergraduate and graduate levels; 2) the most common concepts and skills being taught in bioinformatics education; 3) pedagogical approaches and methods of delivery for conveying bioinformatics concepts and skills; and 4) assessment results on the impact of these programs, approaches, and methods in students' attitudes or learning. Based on these findings, it is our goal to describe the landscape of scholarly work in this area and, as a result, identify opportunities and challenges in bioinformatics education.

Indexed as

BiologyComputational BiologyCurriculumLearningModels, EducationalUniversities

Identifiers

PMID25452484
PMCPMC4255348

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.