Evidence map›Paper›PMID 24753423›Full record

ArticleNucleic acids research2014

TEMP: a computational method for analyzing transposable element polymorphism in populations.

Jiali Zhuang, Jie Wang, William Theurkauf, Zhiping Weng

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing 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

92 citing papers in PubMed.

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32 more citing papers are in PubMed but not listed here.

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

4 authors.

Jiali ZhuangProgram in Bioinformatics and Integrative Biology, Department of Biochemistry and Molecular Pharmacology.
Jie WangProgram in Bioinformatics and Integrative Biology, Department of Biochemistry and Molecular Pharmacology.
William TheurkaufProgram in Cell and Developmental Dynamics Program in Molecular Medicine, and University of Massachusetts Medical School, Worcester, MA 01605, USA william.theurkauf@umassmed.edu.
Zhiping WengProgram in Bioinformatics and Integrative Biology, Department of Biochemistry and Molecular Pharmacology zhiping.weng@umassmed.edu.

Funding

RNA localization and translational controlR01HD049116 · NICHD · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI THEURKAUF, WILLIAM EDWARD · 2005 to 2024
$10.8M
EDAC: ENCODE Data Analysis CenterU41HG007000 · NHGRI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI WENG, ZHIPING · 2012 to 2016
$9.8M
NHGRI NIH HHS U41HG007000NICHD NIH HHS R01 HD049116
6 · The paper itself

Abstract

Insertions and excisions of transposable elements (TEs) affect both the stability and variability of the genome. Studying the dynamics of transposition at the population level can provide crucial insights into the processes and mechanisms of genome evolution. Pooling genomic materials from multiple individuals followed by high-throughput sequencing is an efficient way of characterizing genomic polymorphisms in a population. Here we describe a novel method named TEMP, specifically designed to detect TE movements present with a wide range of frequencies in a population. By combining the information provided by pair-end reads and split reads, TEMP is able to identify both the presence and absence of TE insertions in genomic DNA sequences derived from heterogeneous samples; accurately estimate the frequencies of transposition events in the population and pinpoint junctions of high frequency transposition events at nucleotide resolution. Simulation data indicate that TEMP outperforms other algorithms such as PoPoolationTE, RetroSeq, VariationHunter and GASVPro. TEMP also performs well on whole-genome human data derived from the 1000 Genomes Project. We applied TEMP to characterize the TE frequencies in a wild Drosophila melanogaster population and study the inheritance patterns of TEs during hybrid dysgenesis. We also identified sequence signatures of TE insertion and possible molecular effects of TE movements, such as altered gene expression and piRNA production. TEMP is freely available at github: https://github.com/JialiUMassWengLab/TEMP.git.

Indexed as

AlgorithmsInterspersed Repetitive SequencesPolymorphism, GeneticAnimalsDrosophila melanogasterGene ExpressionGenomicsHumans

Identifiers

PMID24753423
PMCPMC4066757

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.