2016
DOI: 10.1101/074518
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Genome-wide reconstruction of complex structural variants using read clouds

Abstract: Microfluidic partitioning of long genomic DNA fragments, and barcoding of shorter fragments derived from them, retains long-range information in short sequencing reads. Such read cloud approaches represent a powerful and cost-effective alternative to single-molecule long-read sequencing. We developed GROC-SVs, which uses read clouds for structural variant detection and assembly, and apply it to Illumina-sequenced 10× Genomics sarcoma and breast cancer data sets. Validation demonstrates substantial improvement … Show more

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Cited by 47 publications
(67 citation statements)
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References 26 publications
(32 reference statements)
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“…However, this result is better than one that incorrectly represents any of the input haplotypes. Approaches that generate synthetic long reads, or read set technologies like 10X Genomics Linked Reads [84,85] combined with read-cloud alignment approaches [86], allow for approaches like Pilon to improve base level accuracy on regions not directly mappable by short read alignments. 2008 [39,63] A all-in-one pipeline that runs programs including AUGUSTUS and GeneWise with extrinsic information such as RNA-seq or protein sequences to both predict annotations and construct a gene set.…”
Section: Base Level Accuracymentioning
confidence: 99%
“…However, this result is better than one that incorrectly represents any of the input haplotypes. Approaches that generate synthetic long reads, or read set technologies like 10X Genomics Linked Reads [84,85] combined with read-cloud alignment approaches [86], allow for approaches like Pilon to improve base level accuracy on regions not directly mappable by short read alignments. 2008 [39,63] A all-in-one pipeline that runs programs including AUGUSTUS and GeneWise with extrinsic information such as RNA-seq or protein sequences to both predict annotations and construct a gene set.…”
Section: Base Level Accuracymentioning
confidence: 99%
“…The 10X Genomics linked-reads dataset was used to phase haplotypes as well as to identify, assemble, and phase primarily large (>30kb) SVs that include translocations (Spies et al 2017;Zheng et al 2016;Marks et al 2018). The 3kb-mate pair was used to validate the large SVs resolved from using the linked-read sequencing data and also to identify additional SVs, mostly in the medium size-range (1kb-100kb).…”
Section: Methods Overviewmentioning
confidence: 99%
“…SVs and large-scale complex rearrangements were identified using both the Long Ranger wgs module with the "--somatic" option, GROC-SVs (default settings with breakpoint assembly) (Spies et al 2017), and gemtools (Greer et al 2017). The "--somatic" option increases the sensitivity of the large-scale SV caller for somatic SVs by allowing the detection of sub-haplotype events and does not affect small-scale variant calling.…”
Section: Haplotype Phasing and Variant Calling Using 10x Genomics Linmentioning
confidence: 99%
“…The core intuition behind this approach was that reads from the same fragment would tend to overlap with similar sets of reads that had different barcodes. Though each set of reads with the same barcode can contain reads from several fragments (5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20), it is unlikely that two sets of reads with two different barcodes would contain reads from multiple separate overlapping fragments. If multiple reads with the same barcode overlapped with reads that had another barcode it would suggest that the original reads came from the same fragment.…”
Section: Barcode Deconvolution Using a Graphical Modelmentioning
confidence: 99%