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. Ed(S): Hancock, John M.; Zvelebil, Marketa J. - Concise Encyclopaedia of Bioinformatics and Computational Biology - 9780470978726 - V9780470978726
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Concise Encyclopaedia of Bioinformatics and Computational Biology

€ 191.64
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Description for Concise Encyclopaedia of Bioinformatics and Computational Biology Hardback. Concise Encyclopaedia of Bioinformatics and Computational Biology, 2nd Edition is a fully revised and updated version of this acclaimed resource. Editor(s): Hancock, John M.; Zvelebil, Marketa J. Num Pages: 822 pages, Illustrations. BIC Classification: GBC; PBW; PS; UY. Category: (P) Professional & Vocational. Dimension: 256 x 197 x 37. Weight in Grams: 1720.

Concise Encyclopaedia of Bioinformatics and Computational Biology, 2nd Edition is a fully revised and updated version of this acclaimed resource. The book provides definitions and often explanations of over 1000 words, phrases and concepts relating to this fast-moving and exciting field, offering a convenient, one-stop summary of the core knowledge in the area. This second edition is an invaluable resource for students, researchers and academics.

Product Details

Format
Hardback
Publication date
2014
Publisher
John Wiley and Sons Ltd United States
Number of pages
822
Condition
New
Number of Pages
824
Place of Publication
Hoboken, United States
ISBN
9780470978726
SKU
V9780470978726
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About . Ed(S): Hancock, John M.; Zvelebil, Marketa J.
John M. Hancock: Group Leader in Bioinformatics, Functional Genomics Team, MRC Harwell. Marketa Zvelebil: Group Leader: Cancer Informatics Unit, Breakthrough Cancer Research, Institute of Cancer Research, London.

Reviews for Concise Encyclopaedia of Bioinformatics and Computational Biology
“This book is an invaluable resource for students, researchers, and academics.  Summing Up: Highly recommended.  Upper-division undergraduates through professionals/practitioners.”  (Choice, 1 September 2014)  

Goodreads reviews for Concise Encyclopaedia of Bioinformatics and Computational Biology


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