ArticleCBE life sciences education2007
Exploring DNA structure with Cn3D.
Article in CBE life sciences education, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Functional and Structural Diversity of Acyl-coA Binding Proteins in Oil Crops.Frontiers in genetics · 2018Review
- Insulator function and topological domain border strength scale with architectural protein occupancy.Genome biology · 2014Article
- Bioinformatics education in high school: implications for promoting science, technology, engineering, and mathematics careers.CBE life sciences education · 2013Article
- A survey of educational uses of molecular visualization freeware.Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular BiologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Researchers in the field of bioinformatics have developed a number of analytical programs and databases that are increasingly important for advancing biological research. Because bioinformatics programs are used to analyze, visualize, and/or compare biological data, it is likely that the use of these programs will have a positive impact on biology education. Over the past years, we have been working to help biology instructors introduce bioinformatics activities into their curricula by providing them with instructional materials that use bioinformatics programs and databases as educational tools. In this study, we measured the impact of a set of these materials on student learning. The activities in these materials asked students to use the molecular structure visualization program Cn3D to locate, identify, or analyze diverse features in DNA structures. Both the experimental groups of college and high school students showed significant increases in learning relative to control groups. Further, learning gains by the college students were correlated with the number of activities assigned. We conclude that working with Cn3D was important for improving student understanding of DNA structure. This study is one example of how a bioinformatics program for visualization can be used to support student learning.
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Registered trials
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.