Data Mining in Bioinformatics

Jason T. L. Wang

ISBN 10: 1849968942 / ISBN 13: 9781849968942

Verlag: Springer London, Springer London Okt 2010, 2010

Beschreibung

This item is printed on demand - it takes 3-4 days longer - Neuware -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 energy metabolism. Proteins localized in the cytoskeleton are probably involved in intracellular tra cking and support. The context of protein functionality is well represented by protein subcellular location. Proteins have various subcellular location patterns [250]. One major category of proteins is synthesized on free ribosomes in the cytoplasm. Soluble proteins remain in the cytoplasm after their synthesis and function as small factories catalyzing cellular metabolites. Other proteins that have a target signal in their sequences are directed to their target organelle (such as mitochondria) via posttranslational transport through the organelle membrane. Nuclear proteins are transferred through pores on the nuclear envelope to the nucleus and mostly function as regulators. The second major category of proteins is synthesized on endoplasmic reticulum(ER)-associated ribosomes and passes through the reticuloendothelial system, consisting of the ERand the Golgi apparatus. 352 pp. Englisch.

Bestandsnummer des Verkäufers 9781849968942

Bibliografische Details

• Titel: Data Mining in Bioinformatics
• Verlag: Springer London, Springer London Okt 2010
• Erscheinungsjahr: 2010
• Sprache: Englisch
• ISBN-10: 1849968942
• ISBN-13: 9781849968942
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 235B x 155 H x 20 T Millimeter Breite: 235 mm, Höhe: 155 mm, Tiefe: 20 mm
• Gewicht: 534 Gramm

Über diesen Titel

Inhaltsangabe

Provides systematic treatment of the application of data mining in bioinformatics, in a manner that is accessible to a computer-literate reader who understands the basics of genetics as well as to computationally interested biologists. Of particular interest to researchers in data mining and bioinformatics. The book is aimed at computer scientists, so necessary biology is explained as needed. Finally, problems are provided at the end of several chapters in case readers want to use the book as a text.

Reseña del editor

Written especially for computer scientists, all necessary biology is explained.

Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery.