pRNAm-PC: Predicting N6-methyladenosine sites in RNA sequences via physical-chemical properties

Analytical Biochemistry

Volumn 497, Issue , 2016, Pages 60-67

  Liu, Zi ^a,b   Xiao, Xuan ^a,c,d   Yu, Dong Jun ^b   Jia, Jianhua ^a   Qiu, Wang Ren ^a   Chou, Kuo Chen ^d,e  

^a JINGDEZHEN CERAMIC INSTITUTE   (China)

^b NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c Zhejiang Textile and Fashion College   (China)

^d GORDON LIFE SCIENCE INSTITUTE   (United States)

^e KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

Author keywords

Auto covariance; Cross covariance; N6 Methyldenosine sites; pRNAm PC; Pseudo dinucleotide composition

Indexed keywords

ALKYLATION; COVARIANCE MATRIX; LINEAR TRANSFORMATIONS; NUCLEOTIDES; VIRUSES;

AUTOCOVARIANCES; CROSS-COVARIANCE; DINUCLEOTIDES; MATHEMATICAL DETAILS; OVERALL ACCURACIES; PHYSICAL CHEMICAL PROPERTY; POST-TRANSCRIPTIONAL MODIFICATION; POST-TRANSLATIONAL MODIFICATIONS;

RNA;

6 N METHYLADENOSINE; ADENINE; CYTOSINE; DIMER; DINUCLEOTIDE; GUANINE; URACIL; ADENOSINE; FUNGAL RNA; N(6)-METHYLADENOSINE; RNA;

ACCURACY; ALGORITHM; ARTICLE; COVARIANCE; DNA SEQUENCE; JACKKNIFE TEST; PHYSICAL CHEMISTRY; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RNA METHYLATION; RNA SEQUENCE; RNA STABILITY; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; ANALOGS AND DERIVATIVES; BIOLOGICAL MODEL; CHEMISTRY; GENETICS; NUCLEOTIDE SEQUENCE; RNA PROCESSING; SACCHAROMYCES CEREVISIAE; SOFTWARE;

ADENOSINE; ALGORITHMS; BASE SEQUENCE; MODELS, GENETIC; RNA; RNA PROCESSING, POST-TRANSCRIPTIONAL; RNA, FUNGAL; SACCHAROMYCES CEREVISIAE; SOFTWARE; SUPPORT VECTOR MACHINE;

EID: 84956829573     PISSN: 00032697     EISSN: 10960309     Source Type: Journal    
DOI: 10.1016/j.ab.2015.12.017     Document Type: Article

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