Exploring massive, genome scale datasets with the genometricorr package

PLoS Computational Biology

Volumn 8, Issue 5, 2012, Pages

  Favorov, Alexander ^a,b,c   Mularoni, Loris ^a,f   Cope, Leslie M ^a   Medvedeva, Yulia ^b,c,g   Mironov, Andrey A ^d,e   Makeev, Vsevolod J ^b,c   Wheelan, Sarah J ^a  

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

^b VAVILOV INSTITUTE OF GENERAL GENETICS   (Russian Federation)

^c STATE RESEARCH INSTITUTE OF GENETICS AND SELECTION OF INDUSTRIAL MICROORGANISMS   (Russian Federation)

^d MOSCOW STATE UNIVERSITY   (Russian Federation)

^e INSTITUTE FOR INFORMATION TRANSMISSION PROBLEMS   (Russian Federation)

^f INSTITUT D INVESTIGACIONS BIOMÈDIQUES AUGUST PI I SUNYER IDIBAPS   (Spain)

^g KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Saudi Arabia)

Author keywords

[No Author keywords available]

Indexed keywords

GENES;

BIOCONDUCTORS; BIOLOGICAL FEATURES; FUNCTIONAL INTERACTION; GENOMICS; HIGH-DIMENSIONAL DATASET; INTERVAL DATA; POINT WISE; SOURCEFORGE; SPATIAL ASSOCIATIONS; SPATIAL CORRELATIONS;

GENOME;

ACCURACY; ARTICLE; COMPUTER INTERFACE; CONTROLLED STUDY; DATA ANALYSIS SOFTWARE; EPIGENETICS; FUNGAL GENOME; GENE EXPRESSION PROFILING; GENE INSERTION; GENE SEQUENCE; GENETIC CODE; GENETIC DATABASE; HUMAN GENOME; PREDICTION; PROCESS DEVELOPMENT; PROMOTER REGION; REPRODUCIBILITY; RETROPOSON; RNA GENE; SENSITIVITY AND SPECIFICITY; TRANSCRIPTION INITIATION SITE;

EID: 84863709495     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002529     Document Type: Article

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