Evidence map›Paper›PMID 29596417›Full record

ArticlePLoS computational biology2018

Eleven quick tips for running an interdisciplinary short course for new graduate students.

Timothy E Saunders, Cynthia Y He, Patrice Koehl, L L Sharon Ong, Peter T C So

Abstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Data science in cell imaging.Journal of cell science · 2021
    Review
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

5 authors.

Timothy E SaundersDepartment of Biological Sciences, National University of Singapore, Singapore.ORCID 0000-0001-5755-0060
Cynthia Y HeDepartment of Biological Sciences, National University of Singapore, Singapore.
Patrice KoehlDepartment of Computer Science and Genome Center, University of California Davis, Davis, California, United States of America.
L L Sharon OngSingapore MIT Alliance for Research and Technology Centre, Singapore.ORCID 0000-0002-4120-163X
Peter T C SoSingapore MIT Alliance for Research and Technology Centre, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative reasoning and techniques are increasingly ubiquitous across the life sciences. However, new graduate researchers with a biology background are often not equipped with the skills that are required to utilize such techniques correctly and efficiently. In parallel, there are increasing numbers of engineers, mathematicians, and physical scientists interested in studying problems in biology with only basic knowledge of this field. Students from such varied backgrounds can struggle to engage proactively together to tackle problems in biology. There is therefore a need to establish bridges between those disciplines. It is our proposal that the beginning of graduate school is the appropriate time to initiate those bridges through an interdisciplinary short course. We have instigated an intensive 10-day course that brought together new graduate students in the life sciences from across departments within the National University of Singapore. The course aimed at introducing biological problems as well as some of the quantitative approaches commonly used when tackling those problems. We have run the course for three years with over 100 students attending. Building on this experience, we share 11 quick tips on how to run such an effective, interdisciplinary short course for new graduate students in the biosciences.

Indexed as

Biological Science DisciplinesBiologyComputational BiologyCurriculumEducation, GraduateEngineeringHumansInterdisciplinary StudiesStudents

Identifiers

PMID29596417
PMCPMC5875739

What OpenQuestion holds

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Registered trials

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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.