RVD2: An ultra-sensitive variant detection model for low-depth heterogeneous next-generation sequencing data

Bioinformatics

Volumn 31, Issue 17, 2015, Pages 2785-2793

  He, Yuting ^a   Zhang, Fan ^a   Flaherty, Patrick ^a,b  

^a Worcester Polytechnic Institute   (United States)

^b UNIVERSITY OF MASSACHUSETTS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

TUMOR MARKER;

ADULT; ALGORITHM; ALLELE; BAYES THEOREM; BREAST TUMOR; DNA SEQUENCE; FEMALE; GENE FREQUENCY; GENETICS; GENOMICS; HETEROZYGOSITY LOSS; HIGH THROUGHPUT SEQUENCING; HUMAN; MUTATION; PAGET NIPPLE DISEASE; PROCEDURES; SEQUENCE ALIGNMENT; SINGLE NUCLEOTIDE POLYMORPHISM; SOFTWARE;

ADULT; ALGORITHMS; ALLELES; BAYES THEOREM; BIOMARKERS, TUMOR; BREAST NEOPLASMS; CARCINOMA, DUCTAL, BREAST; FEMALE; GENE FREQUENCY; GENOMICS; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; LOSS OF HETEROZYGOSITY; MUTATION; POLYMORPHISM, SINGLE NUCLEOTIDE; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, DNA; SOFTWARE;

EID: 84940747364     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btv275     Document Type: Article

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