Evidence map›Paper›PMID 27856569›Full record

ArticleFEMS microbiology letters2016

Personal microbiomes and next-generation sequencing for laboratory-based education.

Mark R Hartman, Kristin T Harrington, Candice M Etson, Matthew B Fierman, Donna K Slonim, David R Walt

Abstract read
In one paragraph

Article in FEMS microbiology letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Microbiomes for All.Frontiers in microbiology · 2020
    Review
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mark R HartmanDepartment of Chemistry, Tufts University, Medford, MA, 02155, USA.
Kristin T HarringtonDepartment of Chemistry, Tufts University, Medford, MA, 02155, USA.
Candice M EtsonDepartment of Chemistry, Tufts University, Medford, MA, 02155, USA.
Matthew B FiermanDepartment of Chemistry, Tufts University, Medford, MA, 02155, USA.
Donna K SlonimDepartment of Computer Science, Tufts University, Medford, MA, 02155, USA.
David R WaltDepartment of Chemistry, Tufts University, Medford, MA, 02155, USA david.walt@tufts.edu.

Funding

Training in Education and Critical Research SkillsK12GM074869 · NIGMS · TUFTS UNIVERSITY BOSTON · PI MOORE, CLAIRE L · 2006 to 2017
$8.5M
Bioinformatics Inquiry through Sequencing (BIOSEQ)R25OD010547 · OD · TUFTS UNIVERSITY MEDFORD · PI WALT, DAVID R. · 2012 to 2016
$1.3M
NIGMS NIH HHS K12 GM074869NIH HHS R25 OD010547
6 · The paper itself

Abstract

Sequencing and bioinformatics technologies have advanced rapidly in recent years, driven largely by developments in next-generation sequencing (NGS) technology. Given the increasing importance of these advances, there is a growing need to incorporate concepts and practices relating to NGS into undergraduate and high school science curricula. We believe that direct access to sequencing and bioinformatics will improve the ability of students to understand the information obtained through these increasingly ubiquitous research tools. In this commentary, we discuss approaches and challenges for bringing NGS into the classroom based on our experiences in developing and running a microbiome project in high school and undergraduate courses. We describe strategies for maximizing student engagement through establishing personal relevance and utilizing an inquiry-based structure. Additionally, we address the practical issues of incorporating cutting edge technologies into an established curriculum. Looking forward, we anticipate that NGS educational experiments will become more commonplace as sequencing costs continue to decrease and the workflow becomes more user friendly.

Indexed as

CurriculumComputational BiologyHigh-Throughput Nucleotide SequencingHumansMicrobiotaSchoolsStudentseducationmicrobiomenext-generation sequencing

Identifiers

PMID27856569
PMCPMC5827621

What OpenQuestion holds

Textmetadata
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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.