Somatic genome rearrangements are thought to play important roles in cancer development. We optimized a long-span paired-end-tag (PET) sequencing approach using 10-Kb genomic DNA inserts to study human genome structural variations (SVs). The use of a 10-Kb insert size allows the identification of breakpoints within repetitive or homology-containing regions of a few kilobases in size and results in a higher physical coverage compared with small insert libraries with the same sequencing effort. We have applied this approach to comprehensively characterize the SVs of 15 cancer and two noncancer genomes and used a filtering approach to strongly enrich for somatic SVs in the cancer genomes. Our analyses revealed that most inversions, deletions, ...
Abstract Background Genome rearrangements are critical oncogenic driver events in many malignancies....
Understanding genetic variation has emerged as a key research problem of the post-genomic era. Until...
Although exome sequencing data are generated primarily to detect single-nucleotide variants and inde...
Somatic genome rearrangements are thought to play important roles in cancer development. We optimize...
Structural variations (SVs) contribute significantly to the variability of the human genome and exte...
<div><p>Structural variations (SVs) contribute significantly to the variability of the human genome ...
A key mutational process in cancer is structural variation, in which rearrangements delete, amplify ...
Identification of somatic rearrangements in cancer genomes has accelerated through analysis of high-...
A key mutational process in cancer is structural variation, in which rearrangements delete, amplify ...
SummaryIdentification of somatic rearrangements in cancer genomes has accelerated through analysis o...
Identification of somatic rearrangements in cancer genomes has accelerated through analysis of high-...
Multiple somatic rearrangements are often found in cancer genomes; however, the underlying processes...
Multiple somatic rearrangements are often found in cancer genomes; however, the underlying processes...
Whole-genome sequencing using massively parallel sequencing technologies enables accurate detection ...
Analysis of somatic alterations in cancer genomes has been accelerated through the rapid growth of t...
Abstract Background Genome rearrangements are critical oncogenic driver events in many malignancies....
Understanding genetic variation has emerged as a key research problem of the post-genomic era. Until...
Although exome sequencing data are generated primarily to detect single-nucleotide variants and inde...
Somatic genome rearrangements are thought to play important roles in cancer development. We optimize...
Structural variations (SVs) contribute significantly to the variability of the human genome and exte...
<div><p>Structural variations (SVs) contribute significantly to the variability of the human genome ...
A key mutational process in cancer is structural variation, in which rearrangements delete, amplify ...
Identification of somatic rearrangements in cancer genomes has accelerated through analysis of high-...
A key mutational process in cancer is structural variation, in which rearrangements delete, amplify ...
SummaryIdentification of somatic rearrangements in cancer genomes has accelerated through analysis o...
Identification of somatic rearrangements in cancer genomes has accelerated through analysis of high-...
Multiple somatic rearrangements are often found in cancer genomes; however, the underlying processes...
Multiple somatic rearrangements are often found in cancer genomes; however, the underlying processes...
Whole-genome sequencing using massively parallel sequencing technologies enables accurate detection ...
Analysis of somatic alterations in cancer genomes has been accelerated through the rapid growth of t...
Abstract Background Genome rearrangements are critical oncogenic driver events in many malignancies....
Understanding genetic variation has emerged as a key research problem of the post-genomic era. Until...
Although exome sequencing data are generated primarily to detect single-nucleotide variants and inde...