Abstract Background Genome rearrangements are critical oncogenic driver events in many malignancies. However, the identification and resolution of the structure of cancer genomic rearrangements remain challenging even with whole genome sequencing. Methods To identify oncogenic genomic rearrangements and resolve their structure, we analyzed linked read sequencing. This approach relies on a microfluidic droplet technology to produce libraries derived from single, high molecular weight DNA molecules, 50 kb in size or greater. After sequencing, the barcoded sequence reads provide long range genomic information, identify individual high molecular weight DNA molecules, determine the haplotype context of genetic variants that occur across contiguo...
Genomic structural variations (SVs) are pervasive in many types of cancers. Characterizing their und...
Multiple somatic rearrangements are often found in cancer genomes; however, the underlying processes...
A key mutational process in cancer is structural variation, in which rearrangements delete, amplify ...
Somatic genome rearrangements are thought to play important roles in cancer development. We optimize...
In recent decades, advances in sequencing technologies have led to an explosion of discoveries in ca...
Whole-genome sequencing using massively parallel sequencing technologies enables accurate detection ...
Background: Gastric cancer is the second highest cause of global cancer mortality. To explore the co...
Li Ka Shing Faculty of Medicine Frontiers SeriesConference Theme: MOOCs in Postmodern Asia & Big Dat...
Identification of somatic rearrangements in cancer genomes has accelerated through analysis of high-...
BACKGROUND: Gastric cancer is the second highest cause of global cancer mortality. To explore the co...
Analysis of somatic alterations in cancer genomes has been accelerated through the rapid growth of t...
Abstract Background Gastric cancer (GC) ranks the second in mortality rate among all cancers. Metast...
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-...
The transformation of a normal cell into a cancer cell involves the accumulation of somatic DNA alte...
Genomic structural variations (SVs) are pervasive in many types of cancers. Characterizing their und...
Multiple somatic rearrangements are often found in cancer genomes; however, the underlying processes...
A key mutational process in cancer is structural variation, in which rearrangements delete, amplify ...
Somatic genome rearrangements are thought to play important roles in cancer development. We optimize...
In recent decades, advances in sequencing technologies have led to an explosion of discoveries in ca...
Whole-genome sequencing using massively parallel sequencing technologies enables accurate detection ...
Background: Gastric cancer is the second highest cause of global cancer mortality. To explore the co...
Li Ka Shing Faculty of Medicine Frontiers SeriesConference Theme: MOOCs in Postmodern Asia & Big Dat...
Identification of somatic rearrangements in cancer genomes has accelerated through analysis of high-...
BACKGROUND: Gastric cancer is the second highest cause of global cancer mortality. To explore the co...
Analysis of somatic alterations in cancer genomes has been accelerated through the rapid growth of t...
Abstract Background Gastric cancer (GC) ranks the second in mortality rate among all cancers. Metast...
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-...
The transformation of a normal cell into a cancer cell involves the accumulation of somatic DNA alte...
Genomic structural variations (SVs) are pervasive in many types of cancers. Characterizing their und...
Multiple somatic rearrangements are often found in cancer genomes; however, the underlying processes...
A key mutational process in cancer is structural variation, in which rearrangements delete, amplify ...