Data Mining for Genomics and Proteomics: Analysis of Gene by Darius M. Dziuda

By Darius M. Dziuda

Information Mining for Genomics and Proteomics makes use of pragmatic examples and an entire case examine to illustrate step by step how biomedical experiences can be utilized to maximise the opportunity of extracting new and valuable biomedical wisdom from info. it really is a great source for college students and pros concerned with gene or protein expression info in a number of settings.

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Additional resources for Data Mining for Genomics and Proteomics: Analysis of Gene and Protein Expression Data (Wiley Series on Methods and Applications in Data Mining)

Example text

Therefore, probe set annotations associate each probe set with an exon and exon cluster. Furthermore, each probe set is associated with a transcript cluster, which roughly corresponds to a gene. 4 million probe sets of the array are grouped into about 300,000 transcript clusters (which means that many transcript clusters may represent one gene). 0 ST Array contains two collections of background probes—the antigenomic collection (probes with sequences not represented in the human genome) and the genomic collection (also called surrogated mismatch probes; they are mismatch probes of genomic sequences that are less likely to be expressed).

4 Transcriptomics and Other -omics . . Though the term genomics is already well established in biomedical sciences, the term itself is an “unusual scientific term because its definition varies from person to person” (Campbell and Heyer 2007). 2 OVERLAPPING AREAS OF RESEARCH 15 related -omics terms were created. Whether their areas belong to genomics or not is pretty much an open question. For example, transcriptomics is most often defined18 as the area covering analysis of gene expression data (expressed genes are called transcripts).

1 BASIC TERMINOLOGY 13 involving gene expression microarray data, we are interested in the gene expression level that refers to the number of copies of RNA transcripts created by transcription of a particular gene (for the protein-coding genes, this is the number of mRNA transcripts generated from the gene) at a given time. The genes that are expressed include the protein-coding genes as well as the genes coding for RNA functional products. Most often, the gene expression analysis focuses, however, on the expression level of the protein-coding genes.

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