Evidence map›Paper›PMID 37163017›Full record

ArticlebioRxiv : the preprint server for biology2023

CoSIA: an R Bioconductor package for CrOss Species Investigation and Analysis.

Anisha Haldar, Vishal H Oza, Nathaniel S DeVoss, Amanda D Clark, Brittany N Lasseigne

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Anisha HaldarThe Department of Cell, Developmental and Integrative Biology, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, USA.
Vishal H OzaThe Department of Cell, Developmental and Integrative Biology, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, USA.
Nathaniel S DeVossThe Department of Cell, Developmental and Integrative Biology, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, USA.
Amanda D ClarkThe Department of Cell, Developmental and Integrative Biology, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, USA.
Brittany N LasseigneThe Department of Cell, Developmental and Integrative Biology, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, USA.
University of Alabama at Birmingham · US

Funding

UAB Pilot Center for Precision Animal Modeling (C-PAM) - Resource and Service SectionU54OD030167 · OD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Bradley K. Yoder · 2020 to 2026
$15.3M
Mentored Experiences in Research, Instruction and Teaching (MERIT) Program - administrative supplementK12GM088010 · NIGMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SCHNEIDER, DAVID ALAN · 2009 to 2024
$9.2M
NIGMS NIH HHS K12 GM088010NIH HHS U54 OD030167
6 · The paper itself

Abstract

High throughput sequencing technologies have enabled cross-species comparative transcriptomic studies; however, there are numerous challenges for these studies due to biological and technical factors. We developed CoSIA (Cross-Species Investigation and Analysis), an Bioconductor R package and Shiny app that provides an alternative framework for cross-species transcriptomic comparison of non-diseased wild-type RNA sequencing gene expression data from Bgee across tissues and species (human, mouse, rat, zebrafish, fly, and nematode) through visualization of variability, diversity, and specificity metrics.

Identifiers

PMID37163017
PMCPMC10168259
OpenAlexW4366998207

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.