Integrated analysis of whole-genome paired-end and mate-pair sequencing data for identifying genomic structural variations in multiple myeloma

Cancer Informatics

Volumn 13, Issue , 2014, Pages 49-53

  Yang, Rendong ^a,d   Chen, Li ^a   Newman, Scott ^b   Gandhi, Khanjan ^b   Doho, Gregory ^a   Moreno, Carlos S ^c   Vertino, Paula M ^c   Bernal Mizarchi, Leon ^c   Lonial, Sagar ^c   Boise, Lawrence H ^c   Rossi, Michael ^a,c   Kowalski, Jeanne ^a,b   Qin, Zhaohui S ^a  

^a EMORY UNIVERSITY   (United States)

^b Winship Biostatistics and Bioinformatics Shared Resource   (United States)

^c EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Multiple myeloma; Structural variations; Variant detection; Whole genome sequencing

Indexed keywords

GENOMIC DNA; TUMOR NECROSIS FACTOR RECEPTOR ASSOCIATED FACTOR 3;

CHROMOSOME REARRANGEMENT; COMPUTER PROGRAM; DNA SEQUENCE; GENE; GENE DELETION; GENETIC VARIABILITY; HETEROZYGOSITY; HUMAN; MATE PAIR SEQUENCE; MOLECULAR GENETICS; MULTIPLE MYELOMA; MULTIPLE MYELOMA CELL LINE; PAIRED END SEQUENCE; REVIEW; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS; SPI1 GENE; TRAF3 GENE; ZNF287 GENE;

EID: 84907525721     PISSN: None     EISSN: 11769351     Source Type: Journal    
DOI: 10.4137/CIN.S13783     Document Type: Review

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