Evidence map›Paper›PMID 33858322›Full record

ArticleBMC bioinformatics2021

ChIP-BIT2: a software tool to detect weak binding events using a Bayesian integration approach.

Xi Chen, Xu Shi, Andrew F Neuwald, Leena Hilakivi-Clarke, Robert Clarke, Jianhua Xuan

Abstract read
In one paragraph

Article in BMC bioinformatics, 2021. 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. Review
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.

Xi ChenBradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, 900 North Glebe Road, Arlington, VA, 22203, USA.
Xu ShiBradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, 900 North Glebe Road, Arlington, VA, 22203, USA.
Andrew F NeuwaldInstitute for Genome Sciences and Department Biochemistry and Molecular Biology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Leena Hilakivi-ClarkeHormel Institute, University of Minnesota, 801 16th Ave NE, Austin, MN, 55912, USA.
Robert ClarkeHormel Institute, University of Minnesota, 801 16th Ave NE, Austin, MN, 55912, USA.
Jianhua XuanBradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, 900 North Glebe Road, Arlington, VA, 22203, USA. xuan@vt.edu.ORCID http://orcid.org/0000-0001-7256-1374

Funding

Novel Targets in Endocrine ResponsivenessU54CA149147 · NCI · GEORGETOWN UNIVERSITY · PI MADHAVAN, SUBHA · 2010 to 2014
$6.9M
Transgenerational effects of maternal high fat diet during pregnancy on breast caR01CA164384 · NCI · GEORGETOWN UNIVERSITY · PI HILAKIVI-CLARKE, LEENA A. · 2012 to 2015
$2.0M
Uncovering Estrogen Receptor-Signaling Networks to Overcome Endocrine ResistanceR01CA149653 · NCI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI XUAN, JASON JIANHUA · 2011 to 2015
$1.5M
Advanced correlation analyses to infer sequence and structural determinants of protein functionR01GM125878 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI NEUWALD, ANDREW F · 2018 to 2021
$1.3M
NCI NIH HHS 149147NCI NIH HHS 149653NCI NIH HHS 164384NIGMS NIH HHS 125878NIGMS NIH HHS R01 GM125878
6 · The paper itself

Abstract

backgroundChIP-seq combines chromatin immunoprecipitation assays with sequencing and identifies genome-wide binding sites for DNA binding proteins. While many binding sites have strong ChIP-seq 'peak' observations and are well captured, there are still regions bound by proteins weakly, with a relatively low ChIP-seq signal enrichment. These weak binding sites, especially those at promoters and enhancers, are functionally important because they also regulate nearby gene expression. Yet, it remains a challenge to accurately identify weak binding sites in ChIP-seq data due to the ambiguity in differentiating these weak binding sites from the amplified background DNAs.

resultsChIP-BIT2 ( http://sourceforge.net/projects/chipbitc/ ) is a software package for ChIP-seq peak detection. ChIP-BIT2 employs a mixture model integrating protein and control ChIP-seq data and predicts strong or weak protein binding sites at promoters, enhancers, or other genomic locations. For binding sites at gene promoters, ChIP-BIT2 simultaneously predicts their target genes. ChIP-BIT2 has been validated on benchmark regions and tested using large-scale ENCODE ChIP-seq data, demonstrating its high accuracy and wide applicability.

conclusionChIP-BIT2 is an efficient ChIP-seq peak caller. It provides a better lens to examine weak binding sites and can refine or extend the existing binding site collection, providing additional regulatory regions for decoding the mechanism of gene expression regulation.

Indexed as

High-Throughput Nucleotide SequencingSoftwareBayes TheoremBinding SitesChromatin ImmunoprecipitationOligonucleotide Array Sequence AnalysisSequence Analysis, DNA

Identifiers

PMID33858322
PMCPMC8051094

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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.