Evidence map›Paper›PMID 31566663›Full record

ArticleBioinformatics (Oxford, England)2020

ChIPseqSpikeInFree: a ChIP-seq normalization approach to reveal global changes in histone modifications without spike-in.

Hongjian Jin, Lawryn H Kasper, Jon D Larson, Gang Wu, Suzanne J Baker, Jinghui Zhang, Yiping Fan

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

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3 · Its place in the literature

Who cites it

37 citing papers in PubMed.

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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

7 authors.

Hongjian JinDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
Lawryn H KasperDepartment of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
Jon D LarsonDepartment of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
Gang WuDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
Suzanne J BakerDepartment of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
Jinghui ZhangDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
Yiping FanDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHARLES ROBERTS · 1985 to 2026
$166.9M
The DNA Damage Response and Tumorigenesis in the BrainP01CA096832 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI BAKER, SUZANNE J. · 2003 to 2025
$38.0M
NCI NIH HHS P01 CA096832NCI NIH HHS P30 CA021765
6 · The paper itself

Abstract

motivationThe traditional reads per million normalization method is inappropriate for the evaluation of ChIP-seq data when treatments or mutations have global effects. Changes in global levels of histone modifications can be detected with exogenous reference spike-in controls. However, most ChIP-seq studies overlook the normalization that must be corrected with spike-in. A method that retrospectively renormalizes datasets without spike-in is lacking.

resultsChIPseqSpikeInFree is a novel ChIP-seq normalization method to effectively determine scaling factors for samples across various conditions and treatments, which does not rely on exogenous spike-in chromatin or peak detection to reveal global changes in histone modification occupancy. Application of ChIPseqSpikeInFree on five datasets demonstrates that this in silico approach reveals a similar magnitude of global changes as the spike-in method does. AVAILABILITY AND IMPLEMENTATION: St. Jude Cloud (https://pecan.stjude.cloud/permalink/spikefree) and St. Jude Github ( https://github.com/stjude/ChIPseqSpikeInFree). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Chromatin Immunoprecipitation SequencingHistone CodeChromatinChromatin ImmunoprecipitationRetrospective StudiesSequence Analysis, DNAChromatin

Identifiers

PMID31566663
PMCPMC7523640

What OpenQuestion holds

Textmetadata
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.