Evidence map›Paper›PMID 39651210›Full record

ArticlebioRxiv : the preprint server for biology2024

CHARMER: detecting and harmonizing high-confidence chromatin interactions across tissues and Hi-C protocols.

Simon Cole, Pavel P Kuksa, Jeffrey Cifello, Otto Valladares, Yuk Yee Leung, Li-San Wang

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

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.

Simon ColePenn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania.
Pavel P KuksaPenn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania.
Jeffrey CifelloPenn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania.
Otto ValladaresPenn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania.
Yuk Yee LeungPenn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania.
Li-San WangPenn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania.

Funding

Alzheimer's Disease Genetics ConsortiumU01AG032984 · NIA · UNIVERSITY OF PENNSYLVANIA · PI SCHELLENBERG, GERARD DAVID · 2009 to 2024
$60.4M
THE NIA GENETICS OF ALZHEIMER'S DISEASE DATA STORAGE SITEU24AG041689 · NIA · UNIVERSITY OF PENNSYLVANIA · PI LI-SAN WANG · 2012 to 2026
$42.3M
Genome Center for Alzheimer's Disease (GCAD)U54AG052427 · NIA · UNIVERSITY OF PENNSYLVANIA · PI SCHELLENBERG, GERARD DAVID, WANG, LI-SAN · 2016 to 2025
$32.8M
Identifying Undiagnosed Alzheimer’s Disease in Understudied PopulationsR01AG085518 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Timothy S Chang · 2024 to 2026
$2.3M
NIA NIH HHS R01 AG085518NIA NIH HHS U01 AG032984NIA NIH HHS U24 AG041689NIA NIH HHS U54 AG052427
6 · The paper itself

Abstract

Motivation: Chromatin conformation capture experiments (CCC), such as Hi-C and Capture Hi-C (CHiC) work to elucidate the three-dimensional organization of the genome and the underlying epigenetic regulatory structures within. CCC experiments produce large amounts of FASTQ sequencing data with a substantial amount of technical noise and require sophisticated computational pipelines in order to extract meaningful results. Large-scale CCC data repositories like 4D Nucleome and ENCODE mostly provide raw contact information but lack annotated, statistically significant interaction data suitable for downstream genetic and genomic analyses. Results: Here, we present CHARMER, an end-to-end pipeline integrated across multiple CCC assay types (HiC, CHiC) which generates statistically significant, harmonized, queryable, chromatin interactions in a consistent BED-like format across cell/tissue types and CCC assays. Availability: CHARMER is freely available at https://bitbucket.org/wanglab-upenn/CHARMER and harmonized chromatin interaction data will be available in the upcoming version of the FILER database (https://lisanwanglab.org/FILER).

Identifiers

PMID39651210
PMCPMC11623617

What Socratic 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 Socratic graph.