Evidence map›Paper›PMID 31288986›Full record

ArticleTrends in immunology2019

Computational and Systems Immunology: A Student's Perspective.

Zinaida Good, Jacob Glanville, Marvin H Gee, Mark M Davis, Purvesh Khatri

Abstract readLetter
In one paragraph

Article in Trends in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Zinaida GoodComputational and Systems Immunology track, PhD Program in Immunology, Stanford University, Stanford, CA, USA; Baxter Laboratory in Stem Cell Biology, Stanford University, Stanford, CA, USA; Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA; Department of Pathology, Stanford University, Stanford, CA, USA. Electronic address: zinaida@stanford.edu.
Jacob GlanvilleComputational and Systems Immunology track, PhD Program in Immunology, Stanford University, Stanford, CA, USA; Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA; Department of Pathology, Stanford University, Stanford, CA, USA.
Marvin H GeeComputational and Systems Immunology track, PhD Program in Immunology, Stanford University, Stanford, CA, USA; Department of Molecular and Cellular Physiology, Stanford University, Stanford, CA, USA.
Mark M DavisDepartment of Microbiology and Immunology, Stanford University, Stanford, CA, USA.
Purvesh KhatriDepartment of Medicine, Center for Biomedical Research, Stanford University, Stanford, CA, USA. Electronic address: pkhatri@stanford.edu.

Funding

Using a tonsil organoid system to probe conditions for the induction of protective antibody and T cell responses to influenza.U19AI057229 · NIAID · STANFORD UNIVERSITY · PI Mark Morris Davis · 2003 to 2026
$88.5M
MOLECULAR &CELLULAR IMMUNOBIOLOGYT32AI007290 · NIAID · STANFORD UNIVERSITY · PI Sean Curtis Bendall, Olivia M Martinez · 1985 to 2026
$27.0M
NIAID NIH HHS T32 AI007290NIAID NIH HHS U19 AI057229
6 · The paper itself

Abstract

The big data revolution has transformed the landscape of immunology research. As inaugural students of Stanford's new Computational and Systems Immunology PhD track, we share our experiences and advice with other institutions considering a similar program.

Indexed as

Allergy and ImmunologyComputational BiologyEducation, GraduateHumansSystems BiologyUniversities

Identifiers

PMID31288986
PMCPMC7035103

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.