Evidence map›Paper›PMID 37577719›Full record

ArticlebioRxiv : the preprint server for biology2023

EpiVar Browser: advanced exploration of epigenomics data under controlled access.

David R Lougheed, Hanshi Liu, Katherine A Aracena, Romain Grégoire, Alain Pacis, Tomi Pastinen, Luis B Barreiro, Yann Joly, David Bujold, Guillaume Bourque

Abstract 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

David R LougheedCanadian Centre for Computational Genomics, McGill University, Montreal, QC, Canada.
Hanshi LiuDepartment of Human Genetics, McGill University, Montreal, QC, Canada.
Katherine A AracenaDepartment of Human Genetics, University of Chicago, Chicago, IL, USA.
Romain GrégoireCanadian Centre for Computational Genomics, McGill University, Montreal, QC, Canada.
Alain PacisCanadian Centre for Computational Genomics, McGill University, Montreal, QC, Canada.
Tomi PastinenDepartment of Human Genetics, McGill University, Montreal, QC, Canada.
Luis B BarreiroDepartment of Human Genetics, University of Chicago, Chicago, IL, USA.
Yann JolyDepartment of Human Genetics, McGill University, Montreal, QC, Canada.
David BujoldCanadian Centre for Computational Genomics, McGill University, Montreal, QC, Canada.
Guillaume BourqueCanadian Centre for Computational Genomics, McGill University, Montreal, QC, Canada.

Funding

ULTRASTRUCTURE AND CYTOMORPHOLOGY COREP30DK042086 · NIDDK · UNIVERSITY OF CHICAGO · PI CHANG, EUGENE B · 1990 to 2025
$29.8M
Characterizing the impact of Yersinia Pestis to the phenotypic evolution of the human immune systemR01GM134376 · NIGMS · UNIVERSITY OF CHICAGO · PI BARREIRO, LUIS BRUNO · 2019 to 2022
$2.2M
NIDDK NIH HHS P30 DK042086NIGMS NIH HHS R01 GM134376
6 · The paper itself

Abstract

Motivation: Human epigenomic data has been generated by large consortia for thousands of cell types to be used as a reference map of normal and disease chromatin states. Since epigenetic data contains potentially identifiable information, similarly to genetic data, most raw files generated by these consortia are stored in controlled-access databases. It is important to protect identifiable information, but this should not hinder secure sharing of these valuable datasets. Results: Guided by the Availability and implementation: Online portal instance: https://computationalgenomics.ca/tools/epivarSource code: https://github.com/c3g/epivar-browser.

Identifiers

PMID37577719
PMCPMC10418203

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.