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ISBN
| 9781493935703 | |
DDC
| 005 | |
Tác giả CN
| Carugo, Oliviero | |
Nhan đề
| Data Mining Techniques for the Life Sciences / Oliviero Carugo, Frank Eisenhaber | |
Thông tin xuất bản
| NJ : Humana, 2016 | |
Mô tả vật lý
| 565 p. : illustration ; 24 cm. | |
Phụ chú
| Methods in Molecular Biology, 1415 | |
Tóm tắt
| This volume details several important databases and data mining tools. Data Mining Techniques for the Life Sciences, Second Edition guides readers through archives of macromolecular three-dimensional structures, databases of protein-protein interactions, thermodynamics information on protein and mutant stability, “Kbdock” protein domain structure database, PDB_REDO databank, erroneous sequences, substitution matrices, tools to align RNA sequences, interesting procedures for kinase family/subfamily classifications, new tools to predict protein crystallizability, metabolomics data, drug-target interaction predictions, and a recipe for protein-sequence-based function prediction and its implementation in the latest version of the ANNOTATOR software suite. | |
Từ khóa tự do
| The Life Sciences | |
Từ khóa tự do
| Data Mining | |
Từ khóa tự do
| Khai thác dữ liệu | |
Khoa
| Khoa Công nghệ Thông tin | |
Tác giả(bs) CN
| Eisenhaber, Frank | |
Địa chỉ
| 300Q12_Kho Mượn_1A(1): M003632 |
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| 009 | 1 0 |
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| 100 | |aCarugo, Oliviero |
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| 245 | |aData Mining Techniques for the Life Sciences / |cOliviero Carugo, Frank Eisenhaber |
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| 260 | |aNJ : |bHumana, |c2016 |
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| 300 | |a565 p. : |billustration ; |c24 cm. |
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| 500 | |aMethods in Molecular Biology, 1415 |
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| 520 | |aThis volume details several important databases and data mining tools. Data Mining Techniques for the Life Sciences, Second Edition guides readers through archives of macromolecular three-dimensional structures, databases of protein-protein interactions, thermodynamics information on protein and mutant stability, “Kbdock” protein domain structure database, PDB_REDO databank, erroneous sequences, substitution matrices, tools to align RNA sequences, interesting procedures for kinase family/subfamily classifications, new tools to predict protein crystallizability, metabolomics data, drug-target interaction predictions, and a recipe for protein-sequence-based function prediction and its implementation in the latest version of the ANNOTATOR software suite. |
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| 653 | |aThe Life Sciences |
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| 653 | |aData Mining |
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| 653 | |aKhai thác dữ liệu |
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| 690 | |aKhoa Công nghệ Thông tin |
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| 691 | |aCông nghệ thông tin |
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| 700 | |aEisenhaber, Frank |
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| 852 | |a300|bQ12_Kho Mượn_1A|j(1): M003632 |
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