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. Ed(S): Wang, Jason T.; Zaki, Mohammed J. (Rensselaer Polytechnic Institute); Toivonen, Hannu T.T.; Shasha, Dennis - Data Mining in Bioinformatics - 9781852336714 - V9781852336714
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Data Mining in Bioinformatics

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Description for Data Mining in Bioinformatics Hardback. Presents techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery. Editor(s): Wang, Jason T.; Zaki, Mohammed J. (Rensselaer Polytechnic Institute); Toivonen, Hannu T.T.; Shasha, Dennis. Series: Advanced Information and Knowledge Processing. Num Pages: 352 pages, 110 black & white illustrations, 37 black & white tables, biography. BIC Classification: UY. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 20. Weight in Grams: 630.
8. 1. 1 Protein Subcellular Location The life sciences have entered the post-genome era where the focus of biologicalresearchhasshiftedfromgenomesequencestoproteinfunctionality. Withwhole-genomedraftsofmouseandhumaninhand,scientistsareputting more and more e?ort into obtaining information about the entire proteome in a given cell type. The properties of a protein include its amino acid sequences, its expression levels under various developmental stages and in di?erenttissues,its3Dstructureandactivesites,itsfunctionalandstructural binding partners, and its subcellular location. Protein subcellular location is important for understanding protein function inside the cell. For example, the observation that the product of a gene is localized in mitochondria will support the hypothesis that this protein or gene is involved in ... Read more

Product Details

Format
Hardback
Publication date
2004
Publisher
Springer London Ltd United Kingdom
Number of pages
352
Condition
New
Series
Advanced Information and Knowledge Processing
Number of Pages
340
Place of Publication
England, United Kingdom
ISBN
9781852336714
SKU
V9781852336714
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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