Data sets on human histone interaction networks.

Yunhui Peng, Yaroslav Markov, Alexander Goncearenco, David Landsman, Anna R Panchenko

Abstract read

In one paragraph

Article in Data in brief, 2020. 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

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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

5 authors.

Yunhui PengNational Center for Biotechnology Information, National Institutes of Health, Bethesda, MD, United States.

Yaroslav MarkovNational Center for Biotechnology Information, National Institutes of Health, Bethesda, MD, United States.

Alexander GoncearencoNational Center for Biotechnology Information, National Institutes of Health, Bethesda, MD, United States.

David LandsmanNational Center for Biotechnology Information, National Institutes of Health, Bethesda, MD, United States.

Anna R PanchenkoDepartment of Pathology and Molecular Medicine, School of Medicine, Queen's University, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we present the data of human histone interactomes generated and analysed in the research article by Peng et al., 2020 [1]. The histone interactome data provide a comprehensive mapping of human histone/nucleosome interaction networks by using different data sources from the structural, chemical cross-linking, and high-throughput studies. The histone interactions are presented at different levels of granularity in networks, including protein, domain, and residue-levels. All human histone interactome Cytoscape session files are available at https://github.com/Panchenko-Lab/Human-histone-interactome.

Indexed as

Histone interactionHistone variantInteraction networkInteractomeNucleosome interaction

Identifiers

PMID33299912

DOI10.1016/j.dib.2020.106555

PMCPMC7701981

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

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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.