ArticleFEMS microbiology letters2018
A town on fire! Integrating 16S rRNA gene amplicon analyses into an undergraduate microbiology lecture class.
Article in FEMS microbiology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed, 5 citations in OpenAlex.
- Students in a Course-Based Undergraduate Research Experience Course Discovered Dramatic Changes in the Bacterial Community Composition Between Summer and Winter Lake Samples.Frontiers in microbiology · 2021Article
- Microbiomes for All.Frontiers in microbiology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Microbiology increasingly relies upon bioinformatics to understand complex microbial interactions. Nevertheless, biology undergraduates often lack the basic quantitative and computer-based skills required for bioinformatics analyses. To address these issues, the course module 'A Town on Fire! 16S rRNA Gene Amplicon Analysis of Microbial Communities Overlying the Centralia, PA Mine Fire' was developed for an undergraduate microbiology lecture course. In this module, microbiology students used Quantitative Insights into Microbial Ecology to perform taxonomic, phylogenetic and statistical analyses on bacterial communities from three hot mine fire-impacted surface soils using 16S rRNA gene amplicon sequences. Pre- and post-module assessment data for each of 2 years were compiled, and indirect assessment indicated that students' confidence regarding their ability to perform bioinformatics analyses, as well as their ability to interpret bioinformatics data both increased, as did their enthusiasm for bioinformatics. Direct assessment demonstrated that students' understanding of topics that they actually used in the module, such as the statistical analyses that underlie bioinformatics investigations and the ability to infer phylogenetic relationships, improved during the module, but that their underlying understanding of techniques that they did not directly perform, such as sequencing and library construction, did not.
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What OpenQuestion holds
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.