Efficient selection of biomineralizing DNA aptamers using deep sequencing and population clustering

ACS Nano

Volumn 8, Issue 1, 2014, Pages 387-395

  Bawazer, Lukmaan A ^a,b   Newman, Aaron M ^a,b,c   Gu, Qian ^a   Ibish, Abdullah ^a,b,d   Arcila, Mary ^a   Cooper, James B ^a   Meldrum, Fiona C ^b   Morse, Daniel E ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF LEEDS   (United Kingdom)

^c STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d GEORGETOWN UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

AutoSOME; biomimetic mineralization; DNA aptamers; massively parallel sequencing; next generation sequencing; population clustering; SELEX; zinc oxide

Indexed keywords

AUTOSOME; BIOMIMETIC MINERALIZATION; DNA APTAMERS; MASSIVELY PARALLEL SEQUENCING; NEXT-GENERATION SEQUENCING; POPULATION CLUSTERING; SELEX;

BIOMIMETIC PROCESSES; CRYSTALLINE MATERIALS; DIGITAL STORAGE; DNA; DNA SEQUENCES; MINERALOGY; SYNTHESIS (CHEMICAL); ZINC OXIDE;

GENE ENCODING;

APTAMER;

ARTICLE; CHEMISTRY; CLUSTER ANALYSIS; HIGH THROUGHPUT SEQUENCING; NUCLEOTIDE SEQUENCE; TRANSMISSION ELECTRON MICROSCOPY;

APTAMERS, NUCLEOTIDE; BASE SEQUENCE; CLUSTER ANALYSIS; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; MICROSCOPY, ELECTRON, TRANSMISSION;

EID: 84893473887     PISSN: 19360851     EISSN: 1936086X     Source Type: Journal    
DOI: 10.1021/nn404448s     Document Type: Article

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