Evidence map›Paper›PMID 34225494›Full record

ArticlemBio2021

An Open-Source Toolkit To Expand Bioinformatics Training in Infectious Diseases.

Alexander S F Berry, Camila Farias Amorim, Corbett L Berry, Camille M Syrett, Elise D English, Daniel P Beiting

Abstract read
In one paragraph

Article in mBio, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. International journal of molecular sciences · 2024
    Article
  18. Article
  19. Article
  20. 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.

Alexander S F Berry *Department of Pathobiology, University of Pennsylvaniagrid.25879.31, Philadelphia, Pennsylvania, USA.
Camila Farias Amorim *Department of Pathobiology, University of Pennsylvaniagrid.25879.31, Philadelphia, Pennsylvania, USA.
Corbett L BerryDepartment of Pathobiology, University of Pennsylvaniagrid.25879.31, Philadelphia, Pennsylvania, USA.
Camille M SyrettDepartment of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvaniagrid.25879.31, Philadelphia, Pennsylvania, USA.
Elise D EnglishDepartment of Pathobiology, University of Pennsylvaniagrid.25879.31, Philadelphia, Pennsylvania, USA.
Daniel P BeitingDepartment of Pathobiology, University of Pennsylvaniagrid.25879.31, Philadelphia, Pennsylvania, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As access to high-throughput sequencing technology has increased, the bottleneck in biomedical research has shifted from data generation to data analysis. Here, we describe a modular and extensible framework for didactic instruction in bioinformatics using publicly available RNA sequencing data sets from infectious disease studies, with a focus on host-parasite interactions. We highlight lessons learned from adapting this course for virtual learners during the coronavirus disease 2019 (COVID-19) pandemic.

Indexed as

AnimalsComputational BiologyCOVID-19Data AnalysisGenomicsHigh-Throughput Nucleotide SequencingHost-Parasite InteractionsHumansPlasmodium falciparumSchistosoma mansoniToxoplasmabioinformaticseducationgenomicsinfectious diseasetranscription

Identifiers

PMID34225494
PMCPMC8406131

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.