Evidence map›Paper›PMID 32407523›Full record

ArticleBioinformatics (Oxford, England)2020

HALPER facilitates the identification of regulatory element orthologs across species.

Xiaoyu Zhang, Irene M Kaplow, Morgan Wirthlin, Tae Yoon Park, Andreas R Pfenning

Erratum issuedOpen access · bronzeAbstract 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. An erratum has been issued. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

21 citing papers in PubMed, 36 citations in OpenAlex.

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  9. Combining Machine Learning and Multiplexed,bioRxiv : the preprint server for biology · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Xiaoyu ZhangDepartment of Computer Science.
Irene M KaplowDepartment of Computational Biology.
Morgan WirthlinDepartment of Computational Biology.
Tae Yoon ParkDepartment of Biology, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Andreas R PfenningDepartment of Computational Biology.
Neuroscience Institute · ITCarnegie Mellon University · US

Funding

Interpreting the regulatory mechanisms underlying the predisposition to substance use disordersDP1DA046585 · NIDA · CARNEGIE-MELLON UNIVERSITY · PI PFENNING, ANDREAS ROBERT · 2018 to 2022
$2.4M
NIDA NIH HHS DP1 DA046585
6 · The paper itself

Abstract

summaryDiverse traits have evolved through cis-regulatory changes in genome sequence that influence the magnitude, timing and cell type-specificity of gene expression. Advances in high-throughput sequencing and regulatory genomics have led to the identification of regulatory elements in individual species, but these genomic regions remain difficult to align across taxonomic orders due to their lack of sequence conservation relative to protein coding genes. The groundwork for tracing the evolution of regulatory elements is provided by the recent assembly of hundreds of genomes, the generation of reference-free Cactus multiple sequence alignments of these genomes, and the development of the halLiftover tool for mapping regions across these alignments. We present halLiftover Post-processing for the Evolution of Regulatory Elements (HALPER), a tool for constructing contiguous regulatory element orthologs from the outputs of halLiftover. We anticipate that this tool will enable users to efficiently identify orthologs of regulatory elements across hundreds of species, providing novel insights into the evolution of traits that have evolved through gene expression. AVAILABILITY AND IMPLEMENTATION: HALPER is implemented in python and available on github: https://github.com/pfenninglab/halLiftover-postprocessing. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

GenomicsSoftwareGenomeRegulatory Sequences, Nucleic AcidSequence Alignment

Identifiers

PMID32407523
PMCPMC7520040
OpenAlexW3026015559

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.