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ISBN 10: 3330033282 ISBN 13: 9783330033283
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Añadir al carritoPaperback. Condición: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330033282 ISBN 13: 9783330033283
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Añadir al carritoTaschenbuch. Condición: Neu. Searching in Protein Databases | Algorithms for secure protein submission and faster searching | Akash Nag (u. a.) | Taschenbuch | 52 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330033283 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Jan 2017, 2017
ISBN 10: 3330033282 ISBN 13: 9783330033283
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Protein databases are growing at exponential rates as more and more sequences are being submitted to protein databases. It takes time to review these sequences, and many of them are often found to be inaccurate. It is therefore necessary to design a system that tracks and connects researchers with their submitted sequences in a secure and authentic way to mitigate risks regarding false submissions and spam. However, a more pressing need is to search these huge databases faster, as searching is the most common job performed by bioinformatics researchers during the course of their work. This book explores both these problems in detail, and offers novel solutions for both safeguarding the submission system as well as to allow faster searching of these huge protein databases. 52 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330033282 ISBN 13: 9783330033283
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ISBN 10: 3330033282 ISBN 13: 9783330033283
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330033282 ISBN 13: 9783330033283
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nag AkashAkash Nag completed his Bachelors in Computer Applications from the University of Burdwan and his Masters in Computer Science from the University of Calcutta. He is currently a research scholar at the Dept. of Computer Scien.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Jan 2017, 2017
ISBN 10: 3330033282 ISBN 13: 9783330033283
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Protein databases are growing at exponential rates as more and more sequences are being submitted to protein databases. It takes time to review these sequences, and many of them are often found to be inaccurate. It is therefore necessary to design a system that tracks and connects researchers with their submitted sequences in a secure and authentic way to mitigate risks regarding false submissions and spam. However, a more pressing need is to search these huge databases faster, as searching is the most common job performed by bioinformatics researchers during the course of their work. This book explores both these problems in detail, and offers novel solutions for both safeguarding the submission system as well as to allow faster searching of these huge protein databases.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330033282 ISBN 13: 9783330033283
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Protein databases are growing at exponential rates as more and more sequences are being submitted to protein databases. It takes time to review these sequences, and many of them are often found to be inaccurate. It is therefore necessary to design a system that tracks and connects researchers with their submitted sequences in a secure and authentic way to mitigate risks regarding false submissions and spam. However, a more pressing need is to search these huge databases faster, as searching is the most common job performed by bioinformatics researchers during the course of their work. This book explores both these problems in detail, and offers novel solutions for both safeguarding the submission system as well as to allow faster searching of these huge protein databases.