Predicting gene regulatory networks of soybean nodulation from RNA-Seq transcriptome data

BMC Bioinformatics

Volumn 14, Issue 1, 2013, Pages

  Zhu, Mingzhu ^a,d   Dahmen, Jeremy L ^b,c   Stacey, Gary ^b,c   Cheng, Jianlin ^a,b  

^a University of Missouri   (United States)

^b UNIVERSITY OF MISSOURI   (United States)

^c Division of Plant Sciences   (United States)

^d DARTMOUTH MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS METHODS; BIOLOGICAL EXPERIMENTS; DEVELOPMENT STAGES; DIFFERENT STAGES; DIFFERENTIALLY EXPRESSED GENE; GENE REGULATORY NETWORKS; RNA INTERFERENCE; TRANSCRIPTOME DATUM;

BIOINFORMATICS; COMPUTATIONAL METHODS; EXPERIMENTS; GENES; RNA;

TRANSCRIPTION;

GLYCINE MAX; RHIZOBIUM;

RNA; TRANSCRIPTOME;

ARTICLE; BIOLOGY; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORK; GENETICS; GROWTH, DEVELOPMENT AND AGING; HIGH THROUGHPUT SEQUENCING; METABOLISM; METHODOLOGY; NODULATION; SEQUENCE ANALYSIS; SOYBEAN;

COMPUTATIONAL BIOLOGY; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; RNA; ROOT NODULES, PLANT; SEQUENCE ANALYSIS, RNA; SOYBEANS; TRANSCRIPTOME;

EID: 84884302416     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-278     Document Type: Article

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