Evidence map›Paper›PMID 38583516›Full record

ArticleJournal of molecular biology2024

Enricherator: A Bayesian Method for Inferring Regularized Genome-wide Enrichments from Sequencing Count Data.

Jeremy W Schroeder, Lydia Freddolino

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of molecular biology, 2024. 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

2 authors.

Jeremy W SchroederDepartment of Biological Chemistry, University of Michigan, Ann Arbor, MI 48109, USA.
Lydia FreddolinoDepartment of Biological Chemistry, University of Michigan, Ann Arbor, MI 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA. Electronic address: lydsf@umich.edu.

Funding

Building a unified framework for understanding bacterial gene regulation and chromosomal architectureR35GM128637 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lydia Petra Freddolino · 2018 to 2026
$3.6M
High-Performance Computing Cluster for Biomedical ResearchS10OD026825 · OD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ATHEY, BRIAN DAVID · 2020 to 2020
$600k
NIGMS NIH HHS R35 GM128637NIH HHS S10 OD026825
6 · The paper itself

Abstract

A pervasive question in biological research studying gene regulation, chromatin structure, or genomics is where, and to what extent, does a signal of interest arise genome-wide? This question is addressed using a variety of methods relying on high-throughput sequencing data as their final output, including ChIP-seq for protein-DNA interactions,

Indexed as

Bayes TheoremHigh-Throughput Nucleotide SequencingAlgorithmsChromatin Immunoprecipitation SequencingComputational BiologyGenomicsHumansSequence Analysis, DNASoftwareBayesian data analysisChIP-seqenrichmentgene regulationhigh throughput sequencing

Identifiers

PMID38583516
PMCPMC11377166

What Socratic holds

Textmetadata
LicenceTDM
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.