Published December 17, 2019 | Version v1
Dataset Open

Illumina CRAM files for "Characterization of large-scale structural variants using Linked-Reads" (Part 1 of 2)

  • 1. Bilkent University
  • 2. Weill Cornell Medicine
  • 3. Boston University

Description

Here we propose novel algorithms to characterize large (>40 Kbp) interspersed segmental duplications,  (> 80 Kbp) inversions, (> 100 Kbp) deletions,  and (> 100 Kbp) translocations using Linked-Read sequencing data. Linked-Read sequencing provides long range information, where Illumina reads are tagged with barcodes that can be used to assign short reads to pools of larger (30-50 Kbp) molecules.


Our methods rely on split molecule sequence signature that we have previously described. Similar to the split read, split molecules refer to large segments of DNA that span an SV breakpoint. Therefore, when mapped to the reference genome, the mapping of these segments would be discontinuous.


We redesign our earlier algorithm, VALOR, to specifically leverage Linked-Read sequencing data to discover large 
structural variation. We implement our new algorithms in a new software package, called VALOR2. 

Notes

Illumina simulation CRAM files. Aligned to GRCh37 using BWA - Part 1

Files

Files (47.8 GB)

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