Evidence map›Paper›PMID 28169395›Full record

ArticleBioinformatics (Oxford, England)2017

annoPeak: a web application to annotate and visualize peaks from ChIP-seq/ChIP-exo-seq.

Xing Tang, Arunima Srivastava, Huayang Liu, Raghu Machiraju, Kun Huang, Gustavo Leone

Erratum issuedAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Xing TangDepartment of Molecular Virology, Immunology and Medical Genetics College of Medicine, The Ohio State University, Columbus, OH, USA.
Arunima SrivastavaDepartment of Molecular Virology, Immunology and Medical Genetics College of Medicine, The Ohio State University, Columbus, OH, USA.
Huayang LiuDepartment of Molecular Virology, Immunology and Medical Genetics College of Medicine, The Ohio State University, Columbus, OH, USA.
Raghu MachirajuDepartment of Biomedical Informatics, The Ohio State University, Columbus, OH, USA.
Kun HuangComputer Science and Engineering, The Ohio State University, Columbus, OH, USA.
Gustavo LeoneDepartment of Molecular Virology, Immunology and Medical Genetics College of Medicine, The Ohio State University, Columbus, OH, USA.

Funding

Suppression of Mammary Tumorigenesis by Stromal p53P01CA097189 · NCI · OHIO STATE UNIVERSITY · PI FERNANDEZ, SOLEDAD A · 2004 to 2016
$16.1M
Tumor Suppressor Roles of E2F7 & E2F8 in Hepatocellular Carcinoma (HCC)R01CA121275 · NCI · OHIO STATE UNIVERSITY · PI LEONE, GUSTAVO WALTER · 2008 to 2018
$3.1M
NCI NIH HHS P01 CA097189NCI NIH HHS R01 CA121275
6 · The paper itself

Abstract

summaryWe developed annoPeak, a web application to annotate, visualize and compare predicted protein-binding regions derived from ChIP-seq/ChIP-exo-seq experiments using human and mouse cells. Users can upload peak regions from multiple experiments onto the annoPeak server to annotate them with biological context, identify associated target genes and categorize binding sites with respect to gene structure. Users can also compare multiple binding profiles intuitively with the help of visualization tools and tables provided by annoPeak. In general, annoPeak will help users identify patterns of genome wide transcription factor binding profiles, assess binding profiles in different biological contexts and generate new hypotheses. AVAILABILITY AND IMPLEMENTATION: The web service is freely accessible through URL: http://ccc-annopeak.osumc.edu/annoPeak . Source code is available at https://github.com/XingTang2014/annoPeak . CONTACT: gustavo.leone@osumc.edu or kun.huang@osumc.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

SoftwareAnimalsBinding SitesChromatin ImmunoprecipitationDNAHigh-Throughput Nucleotide SequencingHumansMicePromoter Regions, GeneticProtein BindingSequence Analysis, DNATranscription FactorsDNATranscription Factors

Identifiers

PMID28169395
PMCPMC5860050

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.