… demonstrated that customized protein sequence databases could … RNA-Seq and shotgun
proteomics data from two colorectal cancer cell lines, we demonstrated that customized protein …

… Here, we briefly describe technical issues accompanying RNA-seq data generation and …
applying RNA-seq and related approaches to deeply sample transcriptomes in different cell …

… RIP-seq (native RNA immunoprecipitation followed by RNA-seq): target transcripts are
immunoprecipated with a protein of interest in cell lysates and analysed by RNA-seq. CLIP-…

… In this review, we will focus on the analysis of single-cell transcriptomes by RNA-seq, a …
of cell populations. The transcriptome constitutes an essential piece of cell identity since RNA …

… -cell RNA sequencing (scRNA-Seq) data has become a driving force in the analysis of the
cellular … interest in the development of tools for cell-cell communication (CCC) inference. CCC …

… Essential proteins are indispensable to cellular life. … RNA-Seq data and GO annotation
data can be used to better … essential proteins by integrating the time-course RNA-Seq data, …

… data from CITE-seq enhanced the phenotypic characterization of a specific type of immune
cell, the natural killer cell, compared with single-cell RNAseq alone. REAP-seq was used to …

… RNA sequencing has been used to empirically determine the transcript sequences expressed
in a given sample, strain, cell line, or … RNA-Seq for the detection of sample-specific protein …

… We applied scTDA to longitudinal single-cell RNA-seq data from in vitro motor neuron
differentiation experiments. We differentiated mESCs into motor neurons using a well-established …

… complex cell biological processes. The analysis of cells at the single-cell level, especially
single-cell RNA sequencing (scRNA-seq), has made it possible to comprehensively dissect …