Evidence map›Paper›PMID 41016011›Full record

ArticleBriefings in bioinformatics2025

TELLBASE: a novel tool of TELL-seq barcode-assisted scaffold assembler for bacterial genomes.

Yutong Li, Tianlong Kuang, Tao Xu, Hanxiao Du, Yi Zhang, Yu Qian, Yiwen Chen, Zhenxian Xiao, Chen Chen, Jing Wu and 3 more

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Yutong LiState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, No. 2005 Songhu Road, Yangpu district, Shanghai 200433, China.ORCID 0009-0001-8746-5024
Tianlong KuangState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, No. 2005 Songhu Road, Yangpu district, Shanghai 200433, China.
Tao XuState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, No. 2005 Songhu Road, Yangpu district, Shanghai 200433, China.
Hanxiao DuState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, No. 2005 Songhu Road, Yangpu district, Shanghai 200433, China.
Yi ZhangShanghai Sci-Tech Inno Center for Infection & Immunity, No. 1688 Guoquan Bei Road, Yangpu district, Shanghai 200433, China.
Yu QianState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, No. 2005 Songhu Road, Yangpu district, Shanghai 200433, China.
Yiwen ChenDepartment of Bioinformatics, Wuxi Universal Sequencing Co., Ltd., No. 35 South Changjiang Road, Xinwu district, Wuxi 214013, China.
Zhenxian XiaoDepartment of Bioinformatics, Wuxi Universal Sequencing Co., Ltd., No. 35 South Changjiang Road, Xinwu district, Wuxi 214013, China.
Chen ChenShanghai Sci-Tech Inno Center for Infection & Immunity, No. 1688 Guoquan Bei Road, Yangpu district, Shanghai 200433, China.
Jing WuShanghai Sci-Tech Inno Center for Infection & Immunity, No. 1688 Guoquan Bei Road, Yangpu district, Shanghai 200433, China.
Wen-Hong ZhangState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, No. 2005 Songhu Road, Yangpu district, Shanghai 200433, China.
Chenqi LuState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, No. 2005 Songhu Road, Yangpu district, Shanghai 200433, China.
Ning JiangState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, No. 2005 Songhu Road, Yangpu district, Shanghai 200433, China.ORCID 0000-0003-0664-6286

Funding

National Key Research and Development Program of China 2021YFC2501800National Key Research and Development Program of China 2022YFA0806200National Key Research and Development Program of China 2022YFC2009802National Natural Science Foundation of China 32000097
6 · The paper itself

Abstract

Transposase enzyme linked long-read sequencing (TELL-seq) technology generates barcode-linked reads, facilitating whole-genome sequencing (WGS), and complete assembly with improved accuracy and reduced costs. Unlike mate-pair sequencing technology, TELL-seq employs a near-full-sequence tagging strategy that allows more efficient capture of comprehensive genomic information. However, assembly algorithms and software capable of fully leveraging the characteristics of TELL-seq technology to effectively assemble genomic sequences at the megabase-scale are lacking, particularly for bacteria and their plasmids. In this study, we present TELL-seq barcode-assisted scaffold assembler (TELLBASE), a de novo genome assembler designed specifically for assembling bacterial genomes using TELL-seq-derived linked reads. In assembly tests involving bacteria such as Acinetobacter baumannii, Klebsiella pneumoniae, Mycobacterium tuberculosis, and Staphylococcus aureus, TELLBASE exhibited exceptional efficacy in producing chromosome-level bacterial genomic sequences and successful identification of plasmids present in the sequenced strains. Comparative analysis revealed that TELLBASE significantly outperforms existing assemblers tailored for TELL-seq-derived linked reads, such as TuringAssembler and Ariadne, in terms of the completeness and accuracy of the assembled genomes. Therefore, TELLBASE shows promising potential for refining draft bacterial genomes and further applications in related fields. The package for TELLBASE is freely available on GitHub (https://github.com/sosie1/TELLBASE).

Indexed as

DNA Barcoding, TaxonomicGenome, BacterialSoftwareAlgorithmsHigh-Throughput Nucleotide SequencingPlasmidsSequence Analysis, DNATransposasesWhole Genome SequencingTransposasesassemble algorithm for TELL-seq platformbacterial genome assemblybarcoded NGS for bacterial genomecomplete de novo assembly

Identifiers

PMID41016011
PMCPMC12476840

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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.