SEQMINER: An R-Package to Facilitate the Functional Interpretation of Sequence-Based Associations

Genetic Epidemiology

Volumn 39, Issue 8, 2015, Pages 619-623

  Zhan, Xiaowei ^a   Liu, Dajiang J ^b  

^a UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

^b PENN STATE COLLEGE OF MEDICINE   (United States)

Author keywords

Genome annotation; R; Information retrieval; Next generation sequencing; Statistical genetics

Indexed keywords

ANALYTIC METHOD; ARTICLE; COMPUTER PROGRAM; DATA ANALYSIS; GENETIC ANALYSIS; GENETIC ASSOCIATION; GENETIC VARIABILITY; GENOTYPE; GENOTYPE PHENOTYPE CORRELATION; PHENOTYPE; R PACKAGE; SIMULATION; STATISTICAL ANALYSIS; BIOLOGY; COMPUTER LANGUAGE; DNA SEQUENCE; FACTUAL DATABASE; GENETIC ASSOCIATION STUDY; GENETIC VARIATION; GENETICS; HIGH THROUGHPUT SEQUENCING; HUMAN; HUMAN GENOME; NUCLEOTIDE SEQUENCE; PROCEDURES; SOFTWARE;

BASE SEQUENCE; COMPUTATIONAL BIOLOGY; DATA INTERPRETATION, STATISTICAL; DATABASES, FACTUAL; GENETIC ASSOCIATION STUDIES; GENETIC VARIATION; GENOME, HUMAN; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; PROGRAMMING LANGUAGES; SEQUENCE ANALYSIS, DNA; SOFTWARE;

EID: 84954389230     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.21918     Document Type: Article

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