Inferring metabolic pathway activity levels from RNA-Seq data

Background Assessing pathway activity levels is a plausible way to quantify metabolic differences between various conditions. This is usually inferred from microarray expression data. Wide availability of NGS technology has triggered a demand for bioinformatics tools capable of analyzing pathway act...

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Veröffentlicht in:	BMC genomics Jg. 17; H. Suppl 5; S. 542
Hauptverfasser:	Temate-Tiagueu, Yvette, Seesi, Sahar Al, Mathew, Meril, Mandric, Igor, Rodriguez, Alex, Bean, Kayla, Cheng, Qiong, Glebova, Olga, Măndoiu, Ion, Lopanik, Nicole B., Zelikovsky, Alexander
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 31.08.2016 BioMed Central Ltd
Schlagworte:	Animal Genetics and Genomics Animals Biomedical and Life Sciences Bryozoa - genetics Bryozoa - metabolism Computational Biology Gene expression Life Sciences Metabolic Networks and Pathways Microarrays Microbial Genetics and Genomics Observations Plant Genetics and Genomics Proteomics RNA sequencing Sequence Analysis, RNA Software Symbiosis Transcriptome Differential Expression Analysis Permutation Model Pathway Activity Pathway Graph Ortholog Group
ISSN:	1471-2164, 1471-2164
Online-Zugang:	Volltext
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