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Protein Function Prediction for Omics Era
Daisuke . Ed(S): Kihara
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Description for Protein Function Prediction for Omics Era
Hardback. This book examines the emerging development of computational gene function prediction methods, which are targeted to analyze large scale data, and also those which use such omics data as additional source of function prediction. Editor(s): Kihara, Daisuke. Num Pages: 310 pages, biography. BIC Classification: MBGR; PSA; PSBC; TCB. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 25. Weight in Grams: 649.
Gene function annotation has been a central question in molecular biology. The importance of computational function prediction is increasing because more and more large scale biological data, including genome sequences, protein structures, protein-protein interaction data, microarray expression data, and mass spectrometry data, are awaiting biological interpretation. Traditionally when a genome is sequenced, function annotation of genes is done by homology search methods, such as BLAST or FASTA. However, since these methods are developed before the genomics era, conventional use of them is not necessarily most suitable for analyzing a large scale data. Therefore we observe emerging development of computational gene ... Read more
Gene function annotation has been a central question in molecular biology. The importance of computational function prediction is increasing because more and more large scale biological data, including genome sequences, protein structures, protein-protein interaction data, microarray expression data, and mass spectrometry data, are awaiting biological interpretation. Traditionally when a genome is sequenced, function annotation of genes is done by homology search methods, such as BLAST or FASTA. However, since these methods are developed before the genomics era, conventional use of them is not necessarily most suitable for analyzing a large scale data. Therefore we observe emerging development of computational gene ... Read more
Product Details
Format
Hardback
Publication date
2011
Publisher
Springer Netherlands
Number of pages
310
Condition
New
Number of Pages
310
Place of Publication
Dordrecht, Netherlands
ISBN
9789400708808
SKU
V9789400708808
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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