Evidence map›Paper›PMID 31114924›Full record

ArticleNucleic acids research2019

EpiAlignment: alignment with both DNA sequence and epigenomic data.

Jia Lu, Xiaoyi Cao, Sheng Zhong

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Jia LuDepartment of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.
Xiaoyi CaoDepartment of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.
Sheng ZhongDepartment of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.

Funding

The second phase of NIH Common Fund 4D Nucleome Network Organizational HubU01CA200147 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZHONG, SHENG · 2015 to 2024
$22.0M
Non-coding Variants Predisposing to Age-related Macular DegenerationR01HG008135 · NHGRI · LUDWIG INSTITUTE FOR CANCER RES LTD · PI REN, BING, ZHANG, KANG · 2015 to 2017
$2.3M
NCI NIH HHS U01 CA200147NHGRI NIH HHS R01 HG008135
6 · The paper itself

Abstract

Comparative epigenomics, which subjects both epigenome and genome to interspecies comparison, has become a powerful approach to reveal regulatory features of the genome. Thus elucidated regulatory features surpass the information derived from comparison of genomic sequences alone. Here, we present EpiAlignment, a web-based tool to align genomic regions with both DNA sequence and epigenomic data. EpiAlignment takes DNA sequence and epigenomic profiles derived by ChIP-seq from two species as input data, and outputs the best semi-global alignments. These alignments are based on EpiAlignment scores, computed by a dynamic programming algorithm that accounts for both sequence alignment and epigenome similarity. For timely response, the EpiAlignment web server automatically initiates up to 140 computing threads depending on the size of user input data. For users' convenience, we have pre-compiled the comparable human and mouse epigenome datasets in matched cell types and tissues from the Roadmap Epigenomics and ENCODE consortia. Users can either upload their own data or select pre-compiled datasets as inputs for EpiAlignment analyses. Results are presented in graphical and tabular formats where the entries can be interactively expanded to visualize additional features of these aligned regions. EpiAlignment is available at https://epialign.ucsd.edu/.

Indexed as

EpigenomicsSoftwareAlgorithmsAnimalsGenomeHumansMiceSequence AlignmentSequence Analysis, DNA

Identifiers

PMID31114924
PMCPMC6602515

What OpenQuestion holds

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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.