Evidence map›Paper›PMID 41643055›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Time-Efficient and Informatic-Skill-Light Gap-Filling for Telomere-to-Telomere Genome Assembly.

Dong Xu, Xianjia Zhao, Lianguang Shang, Shaolong Tian, Yanchun Li, Huaming Wen, Qiang Xu, Dongxi Li, Weihua Pan

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Dong XuState Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute At Shenzhen, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Xianjia ZhaoState Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute At Shenzhen, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Lianguang ShangState Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute At Shenzhen, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Shaolong TianState Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute At Shenzhen, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Yanchun LiState Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute At Shenzhen, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Huaming WenState Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute At Shenzhen, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Qiang XuState Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute At Shenzhen, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Dongxi LiCollege of Artificial Intelligence, College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, Shanxi, China.
Weihua PanState Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute At Shenzhen, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Chinese Academy of Agricultural Sciences, Shenzhen, China.ORCID https://orcid.org/0000-0002-4796-6895

Funding

Agricultural Science and Technology Innovation Program CAAS-ZDRW202503Basic Research Programs of Shanxi Province 202303021211069Innovation Program of Chinese Academy of Agricultural Sciences CAAS-CSIAF-202301National Key Research and Development Program of China 2025YFC3410300National Natural Science Foundation of China 32470678Project of State Key Laboratory of Tropical Crop Breeding SKLTCBZRJJ202502Science and Technology Project of the Ministry of Agriculture and Rural Affairs, P.R. ChinaYouth Innovation Program of the Chinese Academy of Agricultural Sciences Y2025QC36
6 · The paper itself

Abstract

Despite remarkable advances in sequencing technologies and automated genome assembly algorithms, manual gap-filling remains indispensable for achieving telomere-to-telomere (T2T) genome assemblies, a process that can take weeks or even months. Additionally, these tasks require advanced bioinformatics expertise, thereby excluding many biologists from direct participation in T2T genome projects. This severely restricts the ability to construct T2T genomes for larger populations and a wider range of species. To overcome these challenges, we developed GapSuite, an integrated auxiliary software toolbox that includes two complementary tools, Gap-Aid and Gap-Graph, which facilitate gap-filling through sequence-extension-based and assembly-graph-based strategies, respectively. The two tools empower users with limited computational expertise to efficiently perform gap closure on personal computers with just mouse clicks, resulting in a fully assembled genome. GapSuite incorporates several technical innovations to achieve key functions and improve both time and space efficiency. Their effectiveness was validated using Arabidopsis thaliana, rice and human genomes as well as simulated diploid and polyploid genomes. As case studies, we used the tools to construct, to the best of our knowledge, the first T2T genome of rice 9311, a model variety of indica rice, and to fill part of the remaining gaps in a recently published gapless poplar genome.

Indexed as

Computational BiologyGenomeGenome, PlantGenomicsSoftwareTelomereAlgorithmsArabidopsisHumansOryzaSequence Analysis, DNAauxiliary softwaregap fillingtelomere‐to‐telomere genome assemblytime efficiency

Identifiers

PMID41643055
PMCPMC12970218

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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.