Evidence map›Paper›PMID 34925397›Full record

ArticleFrontiers in plant science2021

ecc_finder: A Robust and Accurate Tool for Detecting Extrachromosomal Circular DNA From Sequencing Data.

Panpan Zhang, Haoran Peng, Christel Llauro, Etienne Bucher, Marie Mirouze

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 3% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Fast and accurate resolution of ecDNA sequence using Cycle-Extractor.bioRxiv : the preprint server for biology · 2026
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  14. Comparative Analysis of Active LTR Retrotransposons in Sunflower (International journal of molecular sciences · 2024
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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

5 authors at 4 institutions in 2 countries.

Panpan ZhangInstitut de Recherche pour le Développement (IRD), Montpellier, France.
Haoran PengCrop Genome Dynamics Group, Agroscope Changins, Nyon, Switzerland.
Christel LlauroLaboratory of Plant Genome and Development, University of Perpignan, Perpignan, France.
Etienne BucherCrop Genome Dynamics Group, Agroscope Changins, Nyon, Switzerland.
Marie MirouzeInstitut de Recherche pour le Développement (IRD), Montpellier, France.
Agroscope · CHInstitut de Recherche pour le Développement · FRLaboratoire Génome et Développement des Plantes · FRUniversité de Perpignan · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extrachromosomal circular DNA (eccDNA) has been observed in different species for decades, and more and more evidence shows that this specific type of DNA molecules may play an important role in rapid adaptation. Therefore, characterizing the full landscape of eccDNA has become critical, and there are several protocols for enriching eccDNAs and performing short-read or long-read sequencing. However, there is currently no available bioinformatic tool to identify eccDNAs from Nanopore reads. More importantly, the current tools based on Illumina short reads lack an efficient standardized pipeline notably to identify eccDNA originating from repeated loci and cannot be applied to very large genomes. Here, we introduce a comprehensive tool to solve both of these two issues. Applying ecc_finder to eccDNA-seq data (either mobilome-seq, Circle-Seq and CIDER-seq) from

Indexed as

ArabidopsiseccDNAmobilomenanopore amplicon sequencingwheat

Identifiers

PMID34925397
PMCPMC8672306
OpenAlexW3216650965

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.