Chasing perfection: validation and polishing strategies for telomere-to-telomere genome assemblies

被引:0
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作者
Ann M. Mc Cartney
Kishwar Shafin
Michael Alonge
Andrey V. Bzikadze
Giulio Formenti
Arkarachai Fungtammasan
Kerstin Howe
Chirag Jain
Sergey Koren
Glennis A. Logsdon
Karen H. Miga
Alla Mikheenko
Benedict Paten
Alaina Shumate
Daniela C. Soto
Ivan Sović
Jonathan M. D. Wood
Justin M. Zook
Adam M. Phillippy
Arang Rhie
机构
[1] Computational and Statistical Genomics Branch,Genome Informatics Section
[2] NHGRI,UC Santa Cruz Genomics Institute
[3] NIH,Department of Computer Science
[4] University of California,Graduate Program in Bioinformatics and Systems Biology
[5] Santa Cruz,Laboratory of Neurogenetics of Language and The Vertebrate Genome Lab
[6] Johns Hopkins University,Department of Computational and Data Sciences
[7] University of California,Department of Genome Sciences
[8] San Diego,Department of Biomolecular Engineering
[9] The Rockefeller University,Center for Algorithmic Biotechnology, Institute of Translational Biomedicine
[10] DNAnexus,Department of Biomedical Engineering
[11] Wellcome Sanger Institute,Genome Center, MIND Institute, Department of Biochemistry and Molecular Medicine
[12] Indian Institute of Science,Biosystems and Biomaterials Division
[13] University of Washington School of Medicine,undefined
[14] University of California,undefined
[15] Saint Petersburg State University,undefined
[16] Johns Hopkins University,undefined
[17] University of California,undefined
[18] Pacific Biosciences,undefined
[19] Digital BioLogic d.o.o.,undefined
[20] National Institute of Standards and Technology,undefined
来源
Nature Methods | 2022年 / 19卷
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摘要
Advances in long-read sequencing technologies and genome assembly methods have enabled the recent completion of the first telomere-to-telomere human genome assembly, which resolves complex segmental duplications and large tandem repeats, including centromeric satellite arrays in a complete hydatidiform mole (CHM13). Although derived from highly accurate sequences, evaluation revealed evidence of small errors and structural misassemblies in the initial draft assembly. To correct these errors, we designed a new repeat-aware polishing strategy that made accurate assembly corrections in large repeats without overcorrection, ultimately fixing 51% of the existing errors and improving the assembly quality value from 70.2 to 73.9 measured from PacBio high-fidelity and Illumina k-mers. By comparing our results to standard automated polishing tools, we outline common polishing errors and offer practical suggestions for genome projects with limited resources. We also show how sequencing biases in both high-fidelity and Oxford Nanopore Technologies reads cause signature assembly errors that can be corrected with a diverse panel of sequencing technologies.
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页码:687 / 695
页数:8
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