Evidence map›Paper›PMID 33823530›Full record

ArticleG3 (Bethesda, Md.)2021

Strongyloides RNA-seq Browser: a web-based software platform for on-demand bioinformatics analyses of Strongyloides species.

Astra S Bryant, Stephanie F DeMarco, Elissa A Hallem

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 25% of its field
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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A standard workflow for community-driven manual curation ofPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  6. AdvancingPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  7. ThemicroPublication biology · 2024
    Article
  8. 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

3 authors at 1 institution in 1 country.

Astra S BryantDepartment of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA.ORCID 0000-0002-0887-2044
Stephanie F DeMarcoDepartment of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA.ORCID 0000-0001-8010-8027
Elissa A HallemDepartment of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA.ORCID 0000-0003-0260-3174
University of California, Los Angeles · US

Funding

Chemosensation in skin-penetrating parasitic nematodesR01DC017959 · NIDCD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HALLEM, ELISSA ANYON · 2019 to 2023
$2.6M
Thermosensation in skin-penetrating parasitic nematodesR01AI136976 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HALLEM, ELISSA ANYON · 2019 to 2022
$2.6M
Howard Hughes Medical InstituteNIAID NIH HHS R01 AI136976NIDCD NIH HHS R01 DC017959
6 · The paper itself

Abstract

Soil-transmitted gastrointestinal parasitic nematodes infect approximately 1 billion people worldwide, predominantly in low-resource communities. Skin-penetrating gastrointestinal nematodes in the genus Strongyloides are emerging as model systems for mechanistic studies of soil-transmitted helminths due to the growing availability of functional genomics tools for these species. To facilitate future genomics studies of Strongyloides species, we have designed a web-based application, the Strongyloides RNA-seq Browser, that provides an open source, user-friendly portal for accessing and analyzing Strongyloides genomic expression data. Specifically, the Strongyloides RNA-seq Browser takes advantage of alignment-free read mapping tools and R-based transcriptomics tools to re-analyze publicly available RNA sequencing datasets from four Strongyloides species: Strongyloides stercoralis, Strongyloides ratti, Strongyloides papillosus, and Strongyloides venezuelensis. This application permits on-demand exploration and quantification of gene expression across life stages without requiring previous coding experience. Here, we describe this interactive application and demonstrate how it may be used by nematode researchers to conduct a standard set of bioinformatics queries.

Indexed as

Computational BiologyStrongyloidesAnimalsInternetRNA-SeqSoftwaredifferential gene expressionfunctional enrichmentparasitic nematodesStrongyloides

Identifiers

PMID33823530
PMCPMC8104939
OpenAlexW3151768172

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.