Transcriptomics and Gene Regulation by Jiaqian Wu

Transcriptomics and Gene Regulation



Download Transcriptomics and Gene Regulation

Transcriptomics and Gene Regulation Jiaqian Wu ebook
Publisher: Springer Netherlands
Page: 185
Format: pdf
ISBN: 9789401774482


Measuring gene expression patterns simultaneously across all the In functional genomics, transcriptomics studies are typically a comparison between. By analyzing the transcriptome profiles from four tea plant cultivars, Wu et al. Cincinnati Children's Hospital Medical Center researchers have uncovered gene expression changes associated with fetal maturity. Transcriptome-wide differential gene expression in Bicyclus anynana butterflies: Female vision-related genes are more plastic. Transcriptomic and phylogenetic analysis of a bacterial cell cycle reveals strong associations between gene co-expression and evolution. Access gene expression, why is proteomics more reliable than transcriptomics? An integrated transcriptomic and comparative genomic analysis of differential gene expression in Arctic charr (Salvelinus alpinus) following seawater exposure . For example, we identify a module of 137 highly variable, yet co-regulated, antiviral response genes. Global transcriptome and gene regulation network for secondary metabolite biosynthesis of tea plant (Camellia sinensis). Identification of Human HK Genes and Gene Expression Regulation Study in Cancer from Transcriptomics Data Analysis. De novo transcriptome characterization and gene expression profiling of the desiccation tolerant moss Bryum argenteum following rehydration. There are more to protein abundance regulation that transcription regulation. Genome-wide analyses and high-throughput screening was long reserved for biomedical applications and genetic model organisms. Comparative transcriptomics reveals key gene expression differences between the human and bovine pathogens of the Mycobacterium tuberculosis complex. Whole-tissue or cell-specific studies of gene expression focus on identifying and The first transcriptome-wide studies in insects were published in 1995. Decoding developmental gene regulatory programs by evolutionary transcriptomics.

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