Evidence map›Paper›PMID 26163063›Full record

ArticleNucleic acids research2015

Utilizing mapping targets of sequences underrepresented in the reference assembly to reduce false positive alignments.

Karen H Miga, Christopher Eisenhart, W James Kent

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
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  8. Review
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  10. International journal of molecular sciences · 2021
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  15. Computational Analysis Concerning the Impact of DNA Accessibility on CRISPR-Cas9 Cleavage Efficiency.Molecular therapy : the journal of the American Society of Gene Therapy · 2020
    Article
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  17. Review
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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 at 1 institution in 1 country.

Karen H MigaCenter for Biomolecular Science and Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA khmiga@soe.ucsc.edu.
Christopher EisenhartCenter for Biomolecular Science and Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
W James KentCenter for Biomolecular Science and Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
University of California, Santa Cruz · US

Funding

The UCSC Genome BrowserU41HG002371 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI KENT, WILLIAM JAMES · 2012 to 2021
$36.6M
The UCSC ENCODE Data Coordination CenterU41HG004568 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI KENT, WILLIAM JAMES · 2007 to 2011
$7.7M
NHGRI NIH HHS 3U41HG004568-09S1NHGRI NIH HHS 5U41HG002371NHGRI NIH HHS U41 HG002371
6 · The paper itself

Abstract

The human reference assembly remains incomplete due to the underrepresentation of repeat-rich sequences that are found within centromeric regions and acrocentric short arms. Although these sequences are marginally represented in the assembly, they are often fully represented in whole-genome short-read datasets and contribute to inappropriate alignments and high read-depth signals that localize to a small number of assembled homologous regions. As a consequence, these regions often provide artifactual peak calls that confound hypothesis testing and large-scale genomic studies. To address this problem, we have constructed mapping targets that represent roughly 8% of the human genome generally omitted from the human reference assembly. By integrating these data into standard mapping and peak-calling pipelines we demonstrate a 10-fold reduction in signals in regions common to the blacklisted region and identify a comprehensive set of regions that exhibit mapping sensitivity with the presence of the repeat-rich targets.

Indexed as

ArtifactsGenome, HumanDatabases, Nucleic AcidDNAGenomicsHumansRepetitive Sequences, Nucleic AcidSequence AlignmentDNA

Identifiers

PMID26163063
PMCPMC4787761
OpenAlexW1645912598

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.