» Articles » PMID: 24307552

TIGRA: a Targeted Iterative Graph Routing Assembler for Breakpoint Assembly

Overview
Journal Genome Res
Specialty Genetics
Date 2013 Dec 6
PMID 24307552
Citations 46
Authors
Affiliations
Soon will be listed here.
Abstract

Recent progress in next-generation sequencing has greatly facilitated our study of genomic structural variation. Unlike single nucleotide variants and small indels, many structural variants have not been completely characterized at nucleotide resolution. Deriving the complete sequences underlying such breakpoints is crucial for not only accurate discovery, but also for the functional characterization of altered alleles. However, our current ability to determine such breakpoint sequences is limited because of challenges in aligning and assembling short reads. To address this issue, we developed a targeted iterative graph routing assembler, TIGRA, which implements a set of novel data analysis routines to achieve effective breakpoint assembly from next-generation sequencing data. In our assessment using data from the 1000 Genomes Project, TIGRA was able to accurately assemble the majority of deletion and mobile element insertion breakpoints, with a substantively better success rate and accuracy than other algorithms. TIGRA has been applied in the 1000 Genomes Project and other projects and is freely available for academic use.

Citing Articles

CSV-Filter: a deep learning-based comprehensive structural variant filtering method for both short and long reads.

Xia Z, Xiang W, Wang Q, Li X, Li Y, Gao J Bioinformatics. 2024; 40(9).

PMID: 39240375 PMC: 11419953. DOI: 10.1093/bioinformatics/btae539.


Deletion variants calling in third-generation sequencing data based on a dual-attention mechanism.

Wang H, Li C, Yu X, Gao J Brief Bioinform. 2024; 25(4).

PMID: 38851298 PMC: 11162298. DOI: 10.1093/bib/bbae269.


From tradition to innovation: conventional and deep learning frameworks in genome annotation.

Chen Z, Ain N, Zhao Q, Zhang X Brief Bioinform. 2024; 25(3).

PMID: 38581418 PMC: 10998533. DOI: 10.1093/bib/bbae138.


The evolution of two transmissible cancers in Tasmanian devils.

Stammnitz M, Gori K, Kwon Y, Harry E, Martin F, Billis K Science. 2023; 380(6642):283-293.

PMID: 37079675 PMC: 7614631. DOI: 10.1126/science.abq6453.


TLsub: A transfer learning based enhancement to accurately detect mutations with wide-spectrum sub-clonal proportion.

Zheng T Front Genet. 2022; 13:981269.

PMID: 36482899 PMC: 9723383. DOI: 10.3389/fgene.2022.981269.


References
1.
Rausch T, Zichner T, Schlattl A, Stutz A, Benes V, Korbel J . DELLY: structural variant discovery by integrated paired-end and split-read analysis. Bioinformatics. 2012; 28(18):i333-i339. PMC: 3436805. DOI: 10.1093/bioinformatics/bts378. View

2.
Zhu M, Need A, Han Y, Ge D, Maia J, Zhu Q . Using ERDS to infer copy-number variants in high-coverage genomes. Am J Hum Genet. 2012; 91(3):408-21. PMC: 3511991. DOI: 10.1016/j.ajhg.2012.07.004. View

3.
Handsaker R, Korn J, Nemesh J, McCarroll S . Discovery and genotyping of genome structural polymorphism by sequencing on a population scale. Nat Genet. 2011; 43(3):269-76. PMC: 5094049. DOI: 10.1038/ng.768. View

4.
Ding L, Ellis M, Li S, Larson D, Chen K, Wallis J . Genome remodelling in a basal-like breast cancer metastasis and xenograft. Nature. 2010; 464(7291):999-1005. PMC: 2872544. DOI: 10.1038/nature08989. View

5.
Yoon S, Xuan Z, Makarov V, Ye K, Sebat J . Sensitive and accurate detection of copy number variants using read depth of coverage. Genome Res. 2009; 19(9):1586-92. PMC: 2752127. DOI: 10.1101/gr.092981.109. View