On the importance of small changes in RNA expression

Methods

Volumn 63, Issue 1, 2013, Pages 18-24

  St Laurent, Georges ^a,d   Shtokalo, Dmitry ^d,e   Tackett, Michael R ^d   Yang, Zhaoqing ^d   Vyatkin, Yuri ^d   Milos, Patrice M ^f   Seilheimer, Bernd ^c   McCaffrey, Timothy A ^b   Kapranov, Philipp ^d  

^a UNIVERSIDAD DE ANTIOQUIA   (Colombia)

^b GEORGE WASHINGTON UNIVERSITY MEDICAL CENTER   (United States)

^c Biologische Heilmittel Heel GmbH   (Germany)

^d St Laurent Institute   (United States)

^e A P ERSHOV INSTITUTE OF INFORMATICS SYSTEMS   (Russian Federation)

^f PFIZER INC   (United States)

Author keywords

Differential gene expression; Inflammation; RNAseq; Single molecule sequencing; Transcriptome

Indexed keywords

RNA;

ANIMAL EXPERIMENT; ARTICLE; B LYMPHOCYTE ACTIVATION; CONTROLLED STUDY; EXON; GENE EXPRESSION; HIGH THROUGHPUT SEQUENCING; IMMUNE RESPONSE; IMMUNOREGULATION; INFLAMMATION; MICROARRAY ANALYSIS; MOLECULE; MOUSE; NONHUMAN; PRIORITY JOURNAL; RNA SEQUENCE; SINGLE MOLECULE SEQUENCING; STATISTICAL ANALYSIS;

DE; DIFFERENTIAL EXPRESSION; DIFFERENTIAL GENE EXPRESSION; FALSE DISCOVERY RATE; FC; FDR; FISH; FLUORESCENT IN SITU HYBRIDIZATION; FOLD CHANGE; GAEA; GENE ANNOTATION ENRICHMENT ANALYSIS; GENE ONTOLOGY; GO; INFLAMMATION; LIPOPOLYSACCHARIDE; LPS; MAQC; MICROARRAY QUALITY CONTROL; READS PER THOUSAND BP OF EXON PER 10MILLION TOTAL INFORMATIVE READS PER SAMPLE; RNASEQ; RPK10M; SINGLE MOLECULE SEQUENCING; SINGLE-MOLECULE SEQUENCING; SMS; TRANSCRIPTOME;

BASE SEQUENCE; GENE EXPRESSION PROFILING; HUMANS; INFLAMMATION; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; RNA; SEQUENCE ANALYSIS, RNA; SYSTEMS BIOLOGY; TRANSCRIPTOME;

EID: 84883527406     PISSN: 10462023     EISSN: 10959130     Source Type: Journal    
DOI: 10.1016/j.ymeth.2013.03.027     Document Type: Article

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