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Paper Details

Combining accurate tumor genome simulation with crowdsourcing to benchmark somatic structural variant detection.
Genome Biol
32
2018
bamsurgeon, cancer, cancer cells, synthetic, synthetic tumors, tumor, tumor genome, tumors
Algorithms, Benchmarking, Computer Simulation, Crowdsourcing, Databases, Genetic, Genetic Variation, Genome, Human, Genomics, High-Throughput Nucleotide Sequencing, Humans, Neoplasms, Software
Author NameAffiliation
Anna Y LeeOntario Institute for Cancer Research
Adam D EwingUniversity of California
Adam D EwingMater Research Institute, University of Queensland
Kyle EllrottUniversity of California
Kyle EllrottOregon Health & Science University
Yin Hu
Kathleen E HoulahanOntario Institute for Cancer Research
James Christopher Bare
Shadrielle Melijah G EspirituOntario Institute for Cancer Research
Vincent HuangOntario Institute for Cancer Research
Kristen K Dang
Zechen ChongUniversity of Texas MD Anderson Cancer Center
Zechen ChongInformatics Institute, University of Alabama at Birmingham
Zechen ChongUniversity of Alabama at Birmingham
Zechen ChongUniversity of Texas MD Anderson Cancer Center
Zechen ChongUniversity of Alabama at Birmingham
Zechen ChongInformatics Institute, University of Alabama at Birmingham
Cristian CaloianOntario Institute for Cancer Research
Takafumi N YamaguchiOntario Institute for Cancer Research
Michael R Kellen
Ken ChenUniversity of Texas MD Anderson Cancer Center
Thea Norman
Stephen H Friend
Justin Guinney
Justin Guinney
Gustavo StolovitzkyT.J.Watson Research Center
Gustavo StolovitzkyT.J.Watson Research Center
David HausslerUniversity of California
David HausslerUniversity of California
Adam A MargolinOregon Health & Science University
Adam A Margolin
Adam A MargolinOregon Health & Science University
Adam A Margolin
Joshua M StuartUniversity of California
Joshua M StuartUniversity of California
Paul C BoutrosOntario Institute for Cancer Research
Paul C BoutrosUniversity of Toronto
Paul C BoutrosUniversity of Toronto
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