StringTie enables improved reconstruction of a transcriptome from RNA-seq reads

Nature Biotechnology

Volumn 33, Issue 3, 2015, Pages 290-295

  Pertea, Mihaela ^a,b   Pertea, Geo M ^a,b   Antonescu, Corina M ^a,b   Chang, Tsung Cheng ^c   Mendell, Joshua T ^c,d   Salzberg, Steven L ^a,b,e  

^a Johns Hopkins University   (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

^c UNIVERSITY OF TEXAS AT DALLAS   (United States)

^d UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

^e Johns Hopkins University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; COMPUTATION THEORY; GENE EXPRESSION; OPTIMIZATION; SITE SELECTION; SOFTWARE TESTING;

ASSEMBLY SOFTWARE; COMPLEX DATASETS; DE NOVO ASSEMBLIES; EXPRESSION LEVELS; NETWORK FLOW ALGORITHMS; OPTIMIZATION THEORY; SHORT SEQUENCES; TRANSCRIPTOME ASSEMBLIES;

DATA FLOW ANALYSIS;

TRANSCRIPTOME; MESSENGER RNA;

ALTERNATIVE RNA SPLICING; ARTICLE; B LYMPHOCYTE; COMPUTER PROGRAM; COMPUTER SIMULATION; DNA BASE COMPOSITION; EXON; FETUS; FIBROBLAST; GENE EXPRESSION; GENE LOCUS; HUMAN; HUMAN CELL; HUMAN GENOME; MONOCYTE; PRIORITY JOURNAL; RNA SEQUENCE; ALGORITHM; GENETICS; HEK293 CELL LINE; METABOLISM; PROCEDURES; SEQUENCE ANALYSIS; SOFTWARE;

ALGORITHMS; HEK293 CELLS; HUMANS; RNA, MESSENGER; SEQUENCE ANALYSIS, RNA; SOFTWARE; TRANSCRIPTOME;

EID: 84924377038     PISSN: 10870156     EISSN: 15461696     Source Type: Journal    
DOI: 10.1038/nbt.3122     Document Type: Article

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