Reducing bias in RNA sequencing data: A novel approach to compute counts

BMC Bioinformatics

Volumn 15, Issue , 2014, Pages 1-12

  Finotello, Francesca ^a   Lavezzo, Enrico ^a   Bianco, Luca ^a,b   Barzon, Luisa ^a   Mazzon, Paolo ^a   Fontana, Paolo ^a,b   Toppo, Stefano ^a   Di Camillo, Barbara ^a  

^a UNIVERSITY OF PADOVA   (Italy)

^b RESEARCH AND INNOVATION CENTRE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

GENES; MAPPING; RANDOM ERRORS; TRANSCRIPTION;

ACCURACY AND PRECISION; DATA NORMALIZATION; EVALUATION CRITERIA; GENE TRANSCRIPTIONS; MULTIPLE DATA SETS; NEXT-GENERATION SEQUENCING; NON-UNIFORM DISTRIBUTION; UNBIASED ESTIMATES;

RNA;

DRUG ANALYSIS; RNA;

ARTICLE; DNA BASE COMPOSITION; GENE EXPRESSION REGULATION; GENETICS; HIGH THROUGHPUT SEQUENCING; HUMAN; METHODOLOGY; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS;

ANALYSIS; BASE COMPOSITION; GENE EXPRESSION REGULATION; GENETICS; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; METHODS; RNA; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, RNA;

EID: 84919415762     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-15-S1-S7     Document Type: Article

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