Human transposon insertion profiling: Analysis, visualization and identification of somatic LINE-1 insertions in ovarian cancer

Proceedings of the National Academy of Sciences of the United States of America

Volumn 114, Issue 5, 2017, Pages E733-E740

  Tang, Zuojian ^a   Steranka, Jared P ^b   Ma, Sisi ^a,c   Grivainis, Mark ^a   Rodić, Nemanja ^b,d   Huang, Cheng Ran Lisa ^b,e   Shih, Ie Ming ^b   Wang, Tian Li ^b   Boeke, Jef D ^a   Fenyö, David ^a   Burns, Kathleen H ^b  

^a NEW YORK UNIVERSITY MEDICAL CENTER   (United States)

^b JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c UNIVERSITY OF MINNESOTA   (United States)

^d YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^e 400 Technology Square   (United States)

Author keywords

Human; LINE 1; Ovarian cancer; Retrotransposon; TIPseq

Indexed keywords

BRCA1 PROTEIN; DNA; GENOMIC DNA; LONG INTERSPERSED ELEMENT 1; UNCLASSIFIED DRUG;

ACCURACY; CONFERENCE PAPER; CONSENSUS SEQUENCE; CONTROLLED STUDY; DATA ANALYSIS; FEMALE; GENE INSERTION; HUMAN; HUMAN GENOME; MACHINE LEARNING; MAJOR CLINICAL STUDY; NEXT GENERATION SEQUENCING; OVARY CANCER; OVARY CARCINOMA; POLYMERASE CHAIN REACTION; PRIMARY TUMOR; PRIORITY JOURNAL; PROTEIN EXPRESSION; RELIABILITY; RETROPOSON; SOMATIC MUTATION; TRANSPOSON; ALGORITHM; GENETICS; LONG INTERSPERSED REPEAT; OVARY TUMOR; PROCEDURES;

ALGORITHMS; FEMALE; GENOME, HUMAN; HUMANS; LONG INTERSPERSED NUCLEOTIDE ELEMENTS; MACHINE LEARNING; OVARIAN NEOPLASMS; POLYMERASE CHAIN REACTION;

EID: 85011277389     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1619797114     Document Type: Article

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