Editorial: Curriculum Applications in Microbiology: Bioinformatics in the Classroom

Melendrez, Melanie C.; Shaw, Sophie; Brown, C. Titus; Goodner, Brad; Kvaal, Christopher

doi:10.3389/fmicb.2021.705233

Cited by 1 publication

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“…As a growing interdisciplinary, bioinformatics is constantly updated and developed, of which the most significant feature is the growing accumulation of massive omics data in public database (e.g., Gene Expression Omnibus [GEO], The Cancer Genome Atlas [TCGA]), as well as various open‐source analysis tools based on R/Python, which can be freely used as education resource. However, at the undergraduate level, few curricula in this field are making use of these bioinformatics sources and systematically teaching omics data analytics, thus many students are still very ignorant of how to use bioinformatics to solve biological problems after graduation 7 . Meanwhile, previously, bioinformatics is often taught in a computer lab by a lecture format.…”

Section: Introductionmentioning

confidence: 99%

“…However, at the undergraduate level, few curricula in this field are making use of these bioinformatics sources and systematically teaching omics data analytics, thus many students are still very ignorant of how to use bioinformatics to solve biological problems after graduation. 7 Meanwhile, previously, bioinformatics is often taught in a computer lab by a lecture format. In recent years, there were research reporting the successful implementation of course-based undergraduate research experience (CURE) courses in metagenomics, [8][9][10] as well as TCGA data analysis using Excel.…”

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confidence: 99%

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A course‐based undergraduate research experience for bioinformatics education in undergraduate students

Gao

Guo

2023

Biochem Molecular Bio Educ

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With rapid development of sequencing technology and the continuous accumulation of biological big data, people who are capable of using bioinformatic skills to analyze omics data and work out biological problems are urgently needed in the workforce, which highlights the importance of developing bioinformatics skills early in the undergraduate curriculum. Meanwhile, course‐based undergraduate research experience (CURE) courses have been proved to be an effective teaching format that have many advantages over traditional labs and lectures. Here we introduced an implementation of CURE course of bioinformatics data analysis and visualization for undergraduate students in major of bioinformatics and evaluated the learning outcomes. We were able to address 10 out of 15 core competencies identified by Network for Integrating Bioinformatics into Life Sciences Education. Besides, results evaluated by Laboratory Course Assessment Survey demonstrated the goals of collaboration, discovery and relevance, and iteration were accomplished in our course. Meanwhile, a significant increase in scores of final examinations and a long‐term improvement on students' research ability on bioinformatics data analysis and visualization were also observed. In summary, this CURE course is useful for undergraduate students learning related knowledge and participate in authentic research in the field of bioinformatics.

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Section: Introductionmentioning

confidence: 99%

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confidence: 99%