Customisation of the exome data analysis pipeline using a combinatorial approach

PLoS ONE

Volumn 7, Issue 1, 2012, Pages

  Pattnaik, Swetansu ^a,b   Vaidyanathan, Srividya ^a   Pooja, Durgad G ^a   Deepak, Sa ^a   Panda, Binay ^a,b  

^a Institute of Bioinformatics and Applied Biotechnology   (India)

^b Strand Life Sciences ^*  (India)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BIOINFORMATICS; COMPUTER PROGRAM; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; DATA ANALYSIS; EXOME; FALSE POSITIVE RESULT; GENE SEQUENCE; GENE TECHNOLOGY; GENETIC ALGORITHM; GENETIC VARIABILITY; HIGH THROUGHPUT SEQUENCING; QUALITY CONTROL; SINGLE NUCLEOTIDE POLYMORPHISM; VALIDATION STUDY; ALGORITHM; COMBINATORIAL CHEMISTRY; EVALUATION; GENE EXPRESSION PROFILING; GENETICS; HUMAN; INDIVIDUALITY; METHODOLOGY; MICROARRAY ANALYSIS; MOLECULAR DIAGNOSIS; NEOPLASM; PERSONALIZED MEDICINE; PHYSIOLOGY; PROGNOSIS; SEQUENCE ALIGNMENT; STATISTICAL ANALYSIS; STATISTICS;

ALGORITHMS; COMBINATORIAL CHEMISTRY TECHNIQUES; DATA INTERPRETATION, STATISTICAL; EXOME; GENE EXPRESSION PROFILING; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; INDIVIDUALITY; INDIVIDUALIZED MEDICINE; MICROARRAY ANALYSIS; MOLECULAR DIAGNOSTIC TECHNIQUES; NEOPLASMS; POLYMORPHISM, SINGLE NUCLEOTIDE; PROGNOSIS; SEQUENCE ALIGNMENT; VALIDATION STUDIES AS TOPIC;

EID: 84855417495     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0030080     Document Type: Article

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