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Related Experiment Video

Updated: Feb 7, 2026

Author Spotlight: Optimization of Performance Parameters of the TAGGG Telomere Length Assay

Author Spotlight: Optimization of Performance Parameters of the TAGGG Telomere Length Assay

Published on: April 21, 2023

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

Dong Xu^1,2, Xianjia Zhao¹, Lianguang Shang¹

¹State 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.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)

|February 5, 2026

Summary

This summary is machine-generated.

GapSuite simplifies telomere-to-telomere (T2T) genome assembly by automating manual gap-filling tasks. This user-friendly software empowers biologists with limited bioinformatics experience to achieve complete genome sequences efficiently.

Keywords:

auxiliary software gap filling telomere‐to‐telomere genome assembly time efficiency

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Last Updated: Feb 7, 2026

Author Spotlight: Optimization of Performance Parameters of the TAGGG Telomere Length Assay

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Chemical Dimerization-Induced Protein Condensates on Telomeres

Chemical Dimerization-Induced Protein Condensates on Telomeres

Published on: April 12, 2021

Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Manual gap-filling is a bottleneck in telomere-to-telomere (T2T) genome assembly, requiring significant time and advanced bioinformatics expertise.
This expertise gap limits broader participation in T2T genome projects and the construction of genomes for diverse species and populations.

Purpose of the Study:

To develop an accessible software solution, GapSuite, that streamlines and automates the gap-filling process in genome assembly.
To enable biologists with limited computational skills to perform T2T genome assembly on personal computers.

Main Methods:

GapSuite integrates two tools: Gap-Aid for sequence-extension-based gap-filling and Gap-Graph for assembly-graph-based gap-filling.
The software employs technical innovations for improved time and space efficiency, facilitating gap closure via a user-friendly interface.

Main Results:

GapSuite's effectiveness was validated on Arabidopsis thaliana, rice, human, and simulated genomes.
The tools were used to construct the first T2T genome of rice 9311 and to complete gaps in a poplar genome.

Conclusions:

GapSuite significantly reduces the time and expertise required for T2T genome assembly, democratizing the process.
The software facilitates efficient genome gap-filling, enabling broader applications in population genomics and comparative genomics across species.