Detecting statistically significant common insertion sites in retroviral insertional mutagenesis screens

PLoS Computational Biology

Volumn 2, Issue 12, 2006, Pages 1530-1542

  De Ridder, Jeroen ^a,b   Uren, Anthony ^b   Kool, Jaap ^b   Reinders, Marcel ^a   Wessels, Lodewyk ^a,b  

^a Delft University of Technology ^*  (Netherlands)

^b NETHERLANDS CANCER INSTITUTE   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

DIAGNOSIS; GENES; MUTAGENESIS; TUMORS;

CANCER GENES; DATA RETRIEVAL; HIGH THROUGHPUT SCREENING; INSERTION PROCESS; INSERTION SITE; INSERTIONAL MUTAGENESIS; KERNEL CONVOLUTION; KERNEL FUNCTION; SCREENING TECHNIQUES; TUMOR DEVELOPMENT;

PROBABILITY;

ARTICLE; CANCER GROWTH; GENE IDENTIFICATION; GENE INSERTION SEQUENCE; GENE LOCATION; GENE MUTATION; GENOME; MOLECULAR CLONING; MUTAGENESIS; NONHUMAN; TUMOR GENE; BIOLOGICAL MODEL; CHROMOSOME MAP; COMPUTER SIMULATION; DNA SEQUENCE; GENETIC SCREENING; GENETICS; METHODOLOGY; NUCLEOTIDE SEQUENCE; RETROVIRUS; SEQUENCE ALIGNMENT; STATISTICAL ANALYSIS; STATISTICAL MODEL; TRANSPOSON; VIRUS GENOME;

CHROMOSOME MAPPING; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DNA MUTATIONAL ANALYSIS; DNA TRANSPOSABLE ELEMENTS; GENETIC TESTING; GENOME, VIRAL; MODELS, GENETIC; MODELS, STATISTICAL; RETROVIRIDAE; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, DNA;

EID: 33846025793     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.0020166     Document Type: Article

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