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2012 Boc314 TT02m(1) - Learning
2012 Boc314 TT02m(1) - Learning

... Eukaryotic genes have introns within them ...
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RNA-Seq analysis

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... Gene set analysis is widely used to facilitate biological interpretations in the analyses of differential expression from high throughput profiling data. Wilcoxon Rank-Sum (WRS) test is one of the commonly used methods in gene set enrichment analysis because it is easy to implement and it eliminates ...
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... most cases, a gene encodes a polypeptide. In most organisms the pathway for gene expression is the transcription of DNA into RNA, which is then translated into protein. Chapter 2 covers the structures of nucleic acids (DNA and RNA) and methods for analyzing them biochemically. Methods for isolating ...
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... Genes that are needed only under certain conditions are arranged in operons ...
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... a | RNA that is polyadenylated and 3′ deoxyblocked with poly(A) polymerase is captured on poly(dT)-coated surfaces. A 'fill-and-lock' step is performed, in which the 'fill' step is performed with natural thymidine and polymerase, and the 'lock' step is performed with fluorescently labelled A, C and ...
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... Introns are removed from the primary transcript and exons are spliced together to make mRNA. In some genes more than 90% of the pre-mRNA is destroyed, never to appear in the mRNA. ...
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RNA Seq: A (soon to be outdated) Tutorial

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... too short to protect the chromosome, causing the cell to malfunction and the body to age  Her telomeres had lengthened ~20 years, from 6.71kb to 7.33kb (protect against loss of muscle mass and to battle stem cell depletion) ...
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RNA-seq data matrix

... which are growing exponentially. A striking example is The Cancer Genome Atlas (TCGA), whose aim is to provide a comprehensive archive of biomedical data about tumors. In this work, we integrate RNA-seq and DNA-methylation experiments extracted from TCGA and perform a supervised classification analy ...
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Proteome and Gene Expression Analysis
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... Traditional cluster analysis partitions the genes or the samples into a set of exhaustive, mutually exclusive clusters, implying that each gene or each sample responds to exactly one biological process. Art Owen and I introduced the plaid model as a form of cluster analysis in which genes and sample ...
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... in nasopharyngeal cancer cells comparing cells grouped according to expression of the Epstein-Barr virus. After reviewing some basic issues and popular approaches to data analysis, I will turn to the problem of assessing enrichment of predefined gene sets (categories) for differentially expressed (D ...
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... • The number of unique mRNA molecules is much larger than the number of genes. • A large fraction of the mRNA molecules is degraded by the NMD pathway. – NMD provides a means to regulate gene-expression at the post-transcriptional level ...
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... • Complex aspects of biological change, including differentiation, response to stress, and the onset of disease, can thus be studied at the genomic level. • Instead of defining cell states using single markers, it is now possible to use clustering algorithms to group data obtained over many differen ...
Gene Expression Vocabulary
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... 20. Tumor: the cancerous cells that proliferates, forming a mass of cells 21. Oncogene: a gene, that when mutated, can cause a cell to be cancerous 22. Genetic engineering: the process used to isolate a gene from the DNA of one organism and transfer the gene into the DNA of another 23. Recombinant D ...
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... NB: FPKM stands for Fragments Per Kilobase of transcript per Million mapped reads. Like RPKM (Reads Per Kilobase per Million mapped reads), it is a normalised measure of gene expression. It takes into account the length of the transcript (“per kilobase”) and the overall number of reads (“per million ...
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RNA-Seq



RNA-seq (RNA sequencing), also called whole transcriptome shotgun sequencing (WTSS), is a technology that uses the capabilities of next-generation sequencing to reveal a snapshot of RNA presence and quantity from a genome at a given moment in time.
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