Tag Archives: gene ontology

Microarray (MA) and high-throughput sequencing are two commonly used detection systems for global gene expression profiling. Although these two systems are frequently used in parallel, the differences in their final results had not to be examined thoroughly. Transcriptomic analysis of ...

Next generation sequencing methods, such as RNA-seq, have permitted the exploration of gene expression in a range of organisms which have been studied in ecological contexts but lack a sequenced genome. However, the efficacy and accuracy of RNA-seq annotation methods ...

Functional Analysis of Your RNAseq Data – Fiona McCarthy, University of Arizona The broad applicability and availability of RNASeq data has accelerated the generation of functional genomics data sets across a wide range of species. However, the end point of ...

GOexpress accepts gene expression datasets obtained from both microarray and RNA-seq platforms formatted in the recommended Bioconductor “ExpressionSet” container, to evaluate the power of each feature expressed in the dataset to cluster biological samples according to known experimental factors. In ...

Poster – A50 Gene expression analyses of RNA-Sequencing data across multiple cancers to identify Basal-like cancer subtypes Kevin Thompson, Mayo Clinic, United States Xiaojia Tang, Mayo Clinic, United States Jason Sinwell, Mayo Clinic, United States Peter Vedell, Mayo Clinic, United ...

Hevea brasiliensis (Willd. Ex Adr. Juss.) Muell.-Arg. is the primary source of natural rubber that is native to the Amazon rainforest. The singular properties of natural rubber make it superior to and competitive with synthetic rubber for use in several ...

RNA-Seq is emerging as an increasingly important tool in biological research, and it provides the most direct evidence of the relationship between the physiological state and molecular changes in cells. A large amount of RNA-Seq data across diverse experimental conditions ...

RNA-seq analysis provides a powerful tool for revealing relationships between gene expression level and biological function of proteins. In order to identify differentially expressed genes among various RNA-seq datasets obtained from different experimental designs, an appropriate normalization method for calibrating ...